arxiv24.01 |
Bilateral Reference for High-Resolution Dichotomous Image Segmentation |
code |
√√√√ |
TMI2024 |
BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels |
code |
√√√√ |
ECCV2024 |
SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance |
code |
|
SIGGRAPH2024 |
SAM 2: Segment Anything in Images and Videos |
code |
√√√ |
CVPR2023 |
Bidirectional Copy-Paste for Semi-Supervised Medical Image Segmentation |
code |
√√√ |
ECCV2024 |
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes |
code |
√√√ |
CVPR2024 |
Improving the Generalization of Segmentation Foundation Model under Distribution Shift via Weakly Supervised Adaptation |
code |
√√√ |
ECCV2024 |
VCP-CLIP: A visual context prompting model for zero-shot anomaly segmentation |
code |
√√√ |
arxiv2024 |
Adapting Pre-Trained Vision Models for Novel Instance Detection and Segmentation |
code |
√√√ |
ECCV2024 |
Semantic-aware SAM for Point-Prompted Instance Segmentation |
code |
√√√ |
ECCV2022 |
Point-to-Box Network for Accurate Object Detection via Single Point Supervision |
code |
√√√ |
ECCV2024 |
Semantic-SAM: Segment and Recognize Anything at Any Granularity |
code |
√√√ |
ECCV2024 |
Open-Vocabulary SAM: Segment and Recognize Twenty-thousand Classes Interactively |
code |
√√√ |
arxiv2024 |
Segment Anything without Supervision |
code |
√√√ |
CVPR2024 |
Diffuse, Attend, and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion |
code |
√ |
CVPR2024 |
CLIP as RNN: Segment Countless Visual Concepts without Training Endeavor |
code |
√√ |
CVPR2024 |
PEM: Prototype-based Efficient MaskFormer for Image Segmentation |
code |
|
CVPR2024 |
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation |
code |
|
CVPR2024 |
Clustering Propagation for Universal Medical Image Segmentation |
code |
√ |
CVPR2024 |
Separate and Conquer: Decoupling Co-occurrence via Decomposition and Representation for Weakly Supervised Semantic Segmentation |
code |
|
CVPR2024 |
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation |
code |
|
CVPR2024 |
Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation |
code |
|
CVPR2024 |
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation |
code |
√ |
CVPR2024 |
From SAM to CAMs: Exploring Segment Anything Model for Weakly Supervised Semantic Segmentation] |
code |
|
CVPR2024 |
Frequency-Adaptive Dilated Convolution for Semantic Segmentation |
code |
|
CVPR2024 |
Tyche: Stochastic In-Context Learning for Medical Image Segmentation |
code |
√ |
CVPR2024 |
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation |
code |
√ |
CVPR2024 |
ASAM: Boosting Segment Anything Model with Adversarial Tuning |
code |
|
CVPR2024 |
Stronger, Fewer, & Superior: Harnessing Vision Foundation Models for Domain Generalized Semantic Segmentation |
code |
|
CVPR2024 |
Open-Vocabulary Semantic Segmentation with Image Embedding Balancing |
code |
|
CVPR2024 |
Open3DIS: Open-Vocabulary 3D Instance Segmentation with 2D Mask Guidance |
code |
|
CVPR2024 |
Contextrast: Contextual Contrastive Learning for Semantic Segmentation |
None |
|
CVPR2024 |
Image-to-Image Matching via Foundation Models: A New Perspective for Open-Vocabulary Semantic Segmentation |
None |
|
CVPR2024 |
Incremental Nuclei Segmentation from Histopathological Images via Future-class Awareness and Compatibility-inspired Distillation |
code |
√√√ |
CVPR2024 |
ALGM: Adaptive Local-then-Global Token Merging for Efficient Semantic Segmentation with Plain Vision Transformers |
code |
|
CVPR2024 |
CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation |
None |
|
CVPR2024 |
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation |
code |
|
CVPR2024 |
ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting |
code |
√√√ |
CVPR2024 |
Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation |
code |
√√√ |
CVPR2024 |
Unsupervised Universal Image Segmentation |
code |
√√√ |
CVPR2024 |
Open-Vocabulary Attention Maps with Token Optimization for Semantic Segmentation in Diffusion Models |
code |
|
CVPR2024 |
Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior |
code |
|
CVPR2024 |
Unlocking the Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation through Relationship Descriptors |
code |
|
CVPR2024 |
Mudslide: A Universal Nuclear Instance Segmentation Method |
None |
√ |
CVPR2024 |
Class Tokens Infusion for Weakly Supervised Semantic Segmentation |
code |
|
CVPR2024 |
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling |
code |
√√√ |
CVPR2024 |
ToNNO: Tomographic Reconstruction of a Neural Network’s Output for Weakly Supervised Segmentation of 3D Medical Images |
None |
|
CVPR2024 |
Domain-Rectifying Adapter for Cross-Domain Few-Shot Segmentation |
code |
|
CVPR2024 |
Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation |
code |
|
CVPR2024 |
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation |
code |
|
CVPR2024 |
MaskClustering: View Consensus based Mask Graph Clustering for Open-Vocabulary 3D Instance Segmentation |
code |
|
CVPR2024 |
Open-Vocabulary 3D Semantic Segmentation with Foundation Models |
None |
|
CVPR2024 |
AllSpark: Reborn Labeled Features from Unlabeled in Transformer for Semi-Supervised Semantic Segmentation |
code |
√√√ |
CVPR2024 |
Collaborating Foundation Models for Domain Generalized Semantic Segmentation |
code |
√√√ |
CVPR2024 |
SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation |
code |
|
CVPR2024 |
Frozen CLIP: A Strong Backbone for Weakly Supervised Semantic Segmentation |
code |
√√√ |
CVPR2024 |
PSDPM: Prototype-based Secondary Discriminative Pixels Mining for Weakly Supervised Semantic Segmentation |
code |
|
CVPR2024 |
Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation |
code |
|
CVPR2024 |
USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation |
None |
|
CVPR2024 |
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation |
code |
|
CVPR2024 |
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation |
code |
|
CVPR2024 |
One-Prompt to Segment All Medical Images |
code |
√√√ |
CVPR2024 |
DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation |
code |
|
CVPR2024 |
RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation |
None |
|
CVPR2024 |
Open-World Semantic Segmentation Including Class Similarity |
code |
|
CVPR2024 |
Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincar´e Ball |
code |
|
CVPR2024 |
Diversified and Personalized Multi-rater Medical Image Segmentation |
code |
√ |
CVPR2024 |
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling |
code |
|
CVPR2024 |
Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation |
code |
|
CVPR2024 |
AlignSAM: Aligning Segment Anything Model to Open Context via Reinforcement Learning |
code |
|
CVPR2024 |
UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes |
code |
|
CVPR2024 |
Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations |
code |
|
CVPR2024 |
Semantic-aware SAM for Point-Prompted Instance Segmentation |
code |
|
CVPR2024 |
RobustSAM: Segment Anything Robustly on Degraded Images |
code |
√ |
CVPR2024 |
SAI3D: Segment Any Instance in 3D Scenes |
code |
|
CVPR2024 |
CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation |
code |
|
CVPR2024 |
Open-Set Domain Adaptation for Semantic Segmentation |
code |
√ |
CVPR2024 |
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance |
code |
|
CVPR2024 |
PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness |
code |
√√ |
CVPR2024 |
Extreme Point Supervised Instance Segmentation |
code |
|
CVPR2024 |
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation |
code |
|
CVPR2024 |
Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge |
code |
√√ |
CVPR2024 |
EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything |
code |
√ |
CVPR2024 |
Open-Vocabulary Segmentation with Semantic-Assisted Calibration |
code |
|
CVPR2024 |
MFP: Making Full Use of Probability Maps for Interactive Image Segmentation |
code |
|
CVPR2024 |
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation |
code |
|
CVPR2024 |
Guided Slot Attention for Unsupervised Video Object Segmentation |
code |
|
WACV2024 |
AnyStar: Domain randomized universal star-convex 3D instance segmentation |
code |
√√√ |
WACV2024 |
Revisiting Token Pruning for Object Detection and Instance Segmentation |
code |
|
WACV2024 |
BPKD: Boundary Privileged Knowledge Distillation for Semantic Segmentation |
code |
|
WACV2024 |
Guided Distillation for Semi-Supervised Instance Segmentation |
code |
|
ICCV2023 |
SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning |
code |
|
ICCV2023 |
SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning |
code |
|
ICCV2023 |
Exploring Transformers for Open-world Instance Segmentation |
code |
|
ICCV2023 |
Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision |
code |
|
ICCV2023 |
Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation |
None |
|
ICCV2023 |
Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation |
code |
√√√ |
ICCV2023 |
Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation |
code |
√√ |
ICCV2023 |
MSI: Maximize Support-Set Information for Few-Shot Segmentation |
code |
√√ |
ICCV2023 |
TopoSeg: Topology-Aware Nuclear Instance Segmentation |
code |
√√√ |
ICCV2023 |
MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory |
code |
|
ICCV2023 |
Informative Data Mining for One-shot Cross-Domain Semantic Segmentation |
code |
|
ICCV2023 |
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge |
code |
|
ICCV2023 |
RbA: Segmenting Unknown Regions Rejected by All |
code |
√ |
ICCV2023 |
Segment Anything |
code |
|
ICCV2023 |
SimpleClick: Interactive Image Segmentation with Simple Vision Transformers |
code |
|
ICCV2023 |
Texture Learning Domain Randomization for Domain Generalized Segmentation |
code |
|
ICCV2023 |
Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images |
code |
√√√ |
ICCV2023 |
XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images |
code |
√√√ |
ICCV2023 |
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation |
code |
|
ICCV2023 |
Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network |
code |
|
ICCV2023 |
BoxSnake: Polygonal Instance Segmentation with Box Supervision |
code |
|
ICCV2023 |
UniverSeg: Universal Medical Image Segmentation |
code |
√√√ |
ICCV2023 |
Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation |
None |
√√√ |
ICCV2023 |
CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation |
code |
|
ICCV2023 |
MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation |
code |
|
ICCV2023 |
Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation |
code |
|
ICCV2023 |
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation |
code |
|
ICCV2023 |
Global Knowledge Calibration for Fast Open-Vocabulary Segmentation |
code |
|
ICCV2023 |
Open-vocabulary Panoptic Segmentation with Embedding Modulation |
code |
|
ICCV2023 |
MasQCLIP for Open-Vocabulary Universal Image Segmentation |
code |
|
ICCV2023 |
WaterMask: Instance Segmentation for Underwater Imagery |
code |
|
ICCV2023 |
CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection |
code |
√√√ |
ICCV2023 |
SegGPT: Towards Segmenting Everything In Context |
code |
|
ICCV2023 |
Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning |
code |
|
ICCV2023 |
DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models |
code |
√ |
ICCV2023 |
Scratch Each Other’s Back: Incomplete Multi-modal Brain Tumor Segmentation Via Category Aware Group Self-Support Learning |
code |
√ |
ICCV2023 |
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation |
code |
|
ICCV2023 |
Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only |
code |
|
ICCV2023 |
Pseudo-label Alignment for Semi-supervised Instance Segmentation |
code |
|
ICCV2023 |
LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation |
code |
|
ICCV2023 |
Enhanced Soft Label for Semi-Supervised Semantic Segmentation |
code |
|
ICCV2023 |
Stochastic Segmentation with Conditional Categorical Diffusion Models |
code |
|
CVPR2022 |
Deep Hierarchical Semantic Segmentation |
code |
|
CVPR2022 |
Rethinking Semantic Segmentation: A Prototype View |
code |
|
CVPR2022 |
Sparse Instance Activation for Real-Time Instance Segmentation |
code |
|
CVPR2022 |
Instance Segmentation with Mask-supervised Polygonal Boundary Transformers |
code |
|
CVPR2022 |
CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation |
None |
|
CVPR2022 |
Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers |
None |
|
CVPR2022 |
PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation |
code |
|
CVPR2022 |
Mask Transfiner for High-Quality Instance Segmentation |
code |
|
CVPR2022 |
Unsupervised Hierarchical Semantic Segmentation With Multiview Cosegmentation and Clustering Transformers |
None |
|
CVPR2022 |
Coarse-To-Fine Feature Mining for Video Semantic Segmentation |
code |
|
CVPR2022 |
Sparse Object-Level Supervision for Instance Segmentation With Pixel Embeddings |
code |
|
CVPR2022 |
Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation |
None |
|
CVPR2022 |
Pin the Memory: Learning To Generalize Semantic Segmentation |
code |
|
CVPR2022 |
SoftGroup for 3D Instance Segmentation on Point Clouds |
code |
|
CVPR2022 |
SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation |
None |
|
CVPR2022 |
Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement |
code |
|
CVPR2022 |
Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels |
code |
|
CVPR2022 |
Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization |
code |
|
CVPR2022 |
Self-Supervised Learning of Object Parts for Semantic Segmentation |
code |
|
CVPR2022 |
Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation |
code |
|
CVPR2022 |
C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image |
code |
|
CVPR2022 |
Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation |
None |
|
CVPR2022 |
ContrastMask: Contrastive Learning to Segment Every Thing |
None |
|
CVPR2022 |
Generalized Few-Shot Semantic Segmentation |
code |
|
CVPR2022 |
Decoupling Zero-Shot Semantic Segmentation |
code |
|
CVPR2022 |
TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation |
code |
|
CVPR2022 |
Cross-Image Relational Knowledge Distillation for Semantic Segmentation |
None |
|
CVPR2022 |
CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings |
code |
|
CVPR2022 |
GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings |
None |
|
CVPR2022 |
TubeFormer-DeepLab: Video Mask Transformer |
None |
|
CVPR2022 |
Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation |
code |
|
CVPR2022 |
Learning Non-target Knowledge for Few-shot Semantic Segmentation |
code |
|
CVPR2022 |
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation |
code |
|
CVPR2022 |
Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device |
None |
|
CVPR2022 |
Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation |
code |
|
CVPR2022 |
Amodal Panoptic Segmentation |
code |
|
CVPR2022 |
Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers |
code |
|
CVPR2022 |
Partial Class Activation Attention for Semantic Segmentation |
code |
|
CVPR2022 |
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data |
code |
|
CVPR2022 |
Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation |
None |
|
CVPR2022 |
Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation |
code |
|
CVPR2022 |
Towards Noiseless Object Contours for Weakly Supervised Semantic |
code |
|
CVPR2022 |
L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation |
code |
|
CVPR2022 |
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation |
code |
|
CVPR2022 |
Stratified Transformer for 3D Point Cloud Segmentation |
code |
|
CVPR2022 |
GroupViT: Semantic Segmentation Emerges from Text Supervision |
code |
enlightened |
WACV2022 |
UNETR: Transformers for 3D Medical Image Segmentation |
code |
|
WACV2022 |
Pixel-Level Bijective Matching for Video Object Segmentation |
code |
|
WACV2022 |
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation |
None |
|
WACV2022 |
Plugging Self-Supervised Monocular Depth into Unsupervised Domain Adaptation for Semantic Segmentation |
code |
|
WACV2022 |
Inferring the Class Conditional Response Map for Weakly Supervised Semantic Segmentation |
code |
|
WACV2022 |
Pixel-by-Pixel Cross-Domain Alignment for Few-Shot Semantic Segmentation |
code |
|
WACV2022 |
Maximizing Cosine Similarity Between Spatial Features for Unsupervised Domain Adaptation in Semantic Segmentation |
None |
|
WACV2022 |
Self-Supervised Generative Style Transfer for One-Shot Medical Image Segmentation |
code |
|
WACV2022 |
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation |
None |
|
WACV2022 |
Single-shot Path Integrated Panoptic Segmentation |
None |
|
WACV2022 |
Time-Space Transformers for Video Panoptic Segmentation |
None |
|
WACV2022 |
FASSST: Fast Attention Based Single-Stage Segmentation Net for Real-Time Instance Segmentation |
None |
|
WACV2022 |
Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries |
None |
|
WACV2022 |
Co-Net: A Collaborative Region-Contour-Driven Network for Fine-to-Finer Medical Image Segmentation |
None |
|
WACV2022 |
T-Net: A Resource-Constrained Tiny Convolutional Neural Network for Medical Image Segmentation |
None |
|
WACV2022 |
Multi-Domain Incremental Learning for Semantic Segmentation |
code |
|
WACV2022 |
Active Learning for Improved Semi-Supervised Semantic Segmentation in Satellite Images |
None |
|
WACV2022 |
MaskSplit: Self-supervised Meta-learning for Few-shot Semantic Segmentation |
None |
|
WACV2022 |
Hyper-Convolution Networks for Biomedical Image Segmentation |
code |
|
WACV2022 |
AuxAdapt: Stable and Efficient Test-Time Adaptation for Temporally Consistent Video Semantic Segmentation |
None |
|
ICCV2021 |
Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation |
code |
|
ICCV2021 |
Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation |
None |
enlightened |
CVPR2020 |
Context Prior for Scene Segmentation |
code |
enlightened |
|
Deep Transport Network for Unsupervised Video Object Segmentation |
None |
|
ICCV2021 |
TempNet: Online Semantic Segmentation on Large-scale Point Cloud Series |
None |
|
ICCV2021 |
Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation |
code |
|
ICCV2021 |
Region-Aware Contrastive Learning for Semantic Segmentation |
None |
|
ICCV2021 |
Graph Constrained Data Representation Learning for Human Motion Segmentation |
code |
enlightened |
ICCV2021 |
Motion Segmentation and Tracking using Normalized Cuts |
None |
enlightened |
ICCV2015 |
Temporal Subspace Clustering for Human Motion Segmentation |
None |
|
ICCV2021 |
Region-aware Contrastive Learning for Semantic Segmentation |
None |
enlightened |
ICCV2021 |
GP-S3Net: Graph-Based Panoptic Sparse Semantic Segmentation Network |
None |
enlightened |
ICCV2021 |
Joint Inductive and Transductive Learning for Video Object Segmentation |
code |
|
ICCV2021 |
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation |
None |
|
ICCV2021 |
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation |
code |
|
ICCV2021 |
Full-Duplex Strategy for Video Object Segmentation |
code |
|
ICCV2021 |
Robust Trust Region for Weakly Supervised Segmentation |
code |
|
ICCV2021 |
Exploring Cross-Image Pixel Contrast for Semantic Segmentation |
code |
enlightened |
ICCV2021 |
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks |
code |
|
ICCV2021 |
Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation |
code |
enlightened |
ICCV2021 |
Learning With Noisy Labels for Robust Point Cloud Segmentation |
None |
|
ICCV2021 |
Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation |
None |
|
ICCV2021 |
Self-Regulation for Semantic Segmentation |
None |
|
ICCV2021 |
Uncertainty-Aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation |
None |
|
ICCV2021 |
Mining Contextual Information Beyond Image for Semantic Segmentation |
code |
|
ICCV2021 |
Contrastive Learning for Label Efficient Semantic Segmentation |
None |
|
ICCV2021 |
BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation |
code |
|
ICCV2021 |
BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-Domain Semantic Segmentation |
code |
|
ICCV2021 |
RECALL: Replay-based Continual Learning in Semantic Segmentation |
code |
|
ICCV2021 |
Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer |
code |
|
ICCV2021 |
Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation |
code |
|
ICCV2021 |
Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation |
code |
|
ICCV2021 |
VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation |
code |
|
ICCV2021 |
ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation |
None |
|
ICCV2021 |
Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation |
None |
|
ICCV2021 |
Complementary Patch for Weakly Supervised Semantic Segmentation |
None |
|
ICCV2021 |
Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation |
code |
|
ICCV2021 |
Deep Metric Learning for Open World Semantic Segmentation |
None |
|
ICCV2021 |
ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation |
None |
|
ICCV2021 |
Geometric Unsupervised Domain Adaptation for Semantic Segmentation |
code |
|
ICCV2021 |
Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning |
code |
enlightened |
ICCV2021 |
How Shift Equivariance Impacts Metric Learning for Instance Segmentation |
code |
enlightened |
ICCV2021 |
Personalized Image Semantic Segmentation |
code |
|
ICCV2021 |
Learning Meta-class Memory for Few-Shot Semantic Segmentation |
None |
|
ICCV2021 |
Hierarchical Aggregation for 3D Instance Segmentation |
code |
|
ICCV2021 |
Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation |
code |
|
ICCV2021 |
Segmenter: Transformer for Semantic Segmentation |
code |
|
ICCV2021 |
Multi-Anchor Active Domain Adaptation for Semantic Segmentation |
code |
|
ICCV2021 |
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation |
None |
enlightened |
ICCV2021 |
Panoptic Narrative Grounding |
code |
new task |
ICCV2021 |
Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals |
code |
enlightened |
ICCV2021 |
Rank & Sort Loss for Object Detection and Instance Segmentation |
code |
|
ICCV2021 |
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation |
code |
|
CVPR2021 |
Learning Calibrated Medical Image Segmentation via Multi-rater Agreement Modeling |
code |
|
CVPR2021 |
4D Panoptic LiDAR Segmentation |
code |
new task |
CVPR2021 |
Zero-Shot Instance Segmentation |
None |
new task |
CVPR2021 |
Learning To Count Everything |
code |
|
CVPR2021 |
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation |
None |
|
CVPR2021 |
Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation |
None |
|
CVPR2021 |
Spatial Feature Calibration and Temporal Fusion for Effective One-stage Video Instance Segmentation |
code |
|
CVPR2021 |
Panoptic-PolarNet: Proposal-free LiDAR Point Cloud Panoptic Segmentation |
code |
|
CVPR2021 |
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation |
code |
data-argu |
CVPR2021 |
A2-FPN: Attention Aggregation based Feature Pyramid Network for Instance Segmentation |
None |
|
CVPR2021 |
Look Closer to Segment Better: Boundary Patch Refinement for Instance Segmentation |
code |
|
CVPR2021 |
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation |
code |
|
CVPR2021 |
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation |
code |
|
CVPR2021 |
Point Cloud Instance Segmentation using Probabilistic Embeddings |
None |
enlightened |
CVPR2021 |
FAPIS: A Few-shot Anchor-free Part-based Instance Segmenter |
code |
|
CVPR2021 |
Background-Aware Pooling and Noise-Aware Loss for Weakly-SupervisedSemantic Segmentation |
code |
|
CVPR2021 |
Hierarchical Lovasz Embeddings for Proposal-free Panoptic Segmentation |
None |
enlightened |
CVPR2021 |
Learning to Associate Every Segment for Video Panoptic Segmentation |
None |
|
CVPR2021 |
Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds |
None |
|
CVPR2021 |
Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation |
code |
|
CVPR2021 |
DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation |
code |
|
CVPR2021 |
Deeply Shape-guided Cascade for Instance Segmentation |
code |
|
CVPR2021 |
Part-aware Panoptic Segmentation |
code |
new task |
CVPR2021 |
ColorRL: Reinforced Coloring for End-to-End Instance Segmentation |
code |
novelty, enlightened |
CVPR2021 |
MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers |
code |
enlightened |
CVPR2021 |
Fully Convolutional Networks for Panoptic Segmentation |
code |
|
CVPR2021 |
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network |
None |
|
CVPR2021 |
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering |
code |
enlightened |
CVPR2021 |
Learning Dynamic Routing for Semantic Segmentation |
code |
|
CVPR2021 |
PolyTransform: Deep Polygon Transformer for Instance Segmentation |
None |
|
CVPR2021 |
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation |
code |
|
AAAI2022 |
Learning to Model Pixel-Embedded Affinity for Homogeneous Instance Segmentation |
code |
|
AAAI2022 |
Multi-Knowledge Aggregation and Transfer for Semantic Segmentation |
None |
|
AAAI2022 |
Deep Neural Networks Learn Meta-Structures from Noisy Labels in Semantic Segmentation |
None |
|
AAAI2022 |
Unsupervised Representation for Semantic Segmentation by Implicit Cycle-Attention Contrastive Learning |
None |
|
AAAI2022 |
CPRAL: Collaborative Panoptic-Regional Active Learning for Semantic Segmentation |
None |
|
CVPR2020 |
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation |
code |
|
CVPR2020 |
Pixel Consensus Voting for Panoptic Segmentation |
code |
enlightened |
CVPR2020 |
3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation |
None |
|
CVPR2020 |
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation |
None |
|
CVPR2020 |
Real-Time Panoptic Segmentation from Dense Detections |
None |
|
CVPR2020 |
Affinity Graph Supervision for Visual Recognition |
None |
|
CVPR2020 |
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation |
None |
|
CVPR2020 |
Bidirectional Graph Reasoning Network for Panoptic Segmentation |
None |
|
ECCV2022 |
OSFormer: One-Stage Camouflaged Instance Segmentation with Transformers |
code |
|
ECCV2022 |
PseudoClick: Interactive Image Segmentation with Click Imitation |
None |
enlightened |
ECCV2022 |
Open-world Semantic Segmentation via Contrasting and Clustering Vision-Language Embedding |
None |
enlightened |
ICLR2022 |
LABEL-EFFICIENT SEMANTIC SEGMENTATION WITH DIFFUSION MODELS |
code |
diffusion model |
arxiv |
Diffusion Models as Plug-and-Play Priors |
code |
|
WACV2020 |
Distributed Iterative Gating Networks for Semantic Segmentation |
None |
|
WACV2020 |
Multi Receptive Field Network for Semantic Segmentation |
None |
|
WACV2020 |
MaskPlus: Improving Mask Generation for Instance Segmentation |
None |
|
WACV2020 |
Efficient Video Semantic Segmentation with Labels Propagation and Refinement |
None |
|
WACV2020 |
Global Context Reasoning for Semantic Segmentation of 3D Point Clouds |
None |
|
ICCV2019 |
Asymmetric Non-local Neural Networks for Semantic Segmentation |
code |
|
ICCV2019 |
CCNet: Criss-Cross Attention for Semantic Segmentation |
code |
|
ICCV2019 |
SSAP: Single-Shot Instance Segmentation With Affinity Pyramid |
code |
enlightened |
ICCV2019 |
ACE: Adapting to Changing Environments for Semantic Segmentation |
None |
|
ICCV2019 |
Dynamic Multi-scale Filters for Semantic Segmentation |
code |
draw pic |
ICCV2019 |
Towards Bridging Semantic Gap to Improve Semantic Segmentation |
None |
|
ICCV2019 |
Feature Weighting and Boosting for Few-Shot Segmentation |
None |
|
ICCV2019 |
Explicit Shape Encoding for Real-Time Instance Segmentation |
code |
|
ICCV2019 |
IMP: Instance Mask Projection for High Accuracy Semantic Segmentation of Things |
None |
|
ICCV2019 |
Video Instance Segmentation |
None |
|
ICCV2019 |
Gated-SCNN: Gated Shape CNNs for Semantic Segmentation |
None |
|
ICCV2019 |
Self-Supervised Difference Detection for Weakly-Supervised Semantic Segmentation |
None |
|
ICCV2019 |
Universal Semi-Supervised Semantic Segmentation |
None |
|
ICCV2019 |
ACFNet: Attentional Class Feature Network for Semantic Segmentation |
code |
|
ICCV2019 |
YOLACT Real-time Instance Segmentation |
code |
|
ICCV2019 |
FCOS: Fully Convolutional One-Stage Object Detection |
code |
|
ICCV2019 |
Semantic Instance Segmentation via Deep Metric Learning |
None |
enlighten |
ECCV2022 |
SeqFormer: Sequential Transformer for Video Instance Segmentation |
code |
|
ECCV2022 |
On Mitigating Hard Clusters for Face Clustering |
code |
|
ECCV2022 |
CenterFormer: Center-based Transformer for 3D Object Detection |
code |
|
ECCV2022 |
ObjectBox: From Centers to Boxes for Anchor-Free Object Detection |
code |
|
ECCV2022 |
Learning Topological Interactions for Multi-Class Medical Image Segmentation |
code |
|
ECCV2022 |
CAR: Class-aware Regularizations for Semantic Segmentation |
code |
|
ECCV2022 |
Active Pointly-Supervised Instance Segmentation |
None |
|
ECCV2022 |
DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation |
code |
|
ECCV2022 |
Video Mask Transfiner for High-Quality Video Instance Segmentation |
code |
|
ECCV2022 |
Box-supervised Instance Segmentation with Level Set Evolution |
code |
|
ECCV2022 |
Mining Relations among Cross-Frame Affinities for Video Semantic Segmentation |
code |
|
ECCV2022 |
2D Amodal Instance Segmentation Guided by 3D Shape Prior |
None |
updating |
ECCV2022 |
Max Pooling with Vision Transformers reconciles class and shape in weakly supervised semantic segmentation |
None |
updating |
ECCV2022 |
CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation |
code |
enlightened |
ECCV2022 |
Continual Semantic Segmentation via Structure Preserving and Projected Feature Alignment |
None |
|
ECCV2022 |
Multi-scale and Cross-scale Contrastive Learning for Semantic Segmentation |
code |
enlightened |
ECCV2022 |
Learning Implicit Feature Alignment Function for Semantic Segmentation |
code |
|
ECCV2022 |
Open-world Semantic Segmentation via Contrasting and Clustering Vision-language Embedding |
None |
|
ECCV2022 |
RBC: Rectifying the Biased Context in Continual Semantic Segmentation |
None |
|
ECCV2022 |
Panoptic-PartFormer: Learning a Unified model for Panoptic Part Segmentation |
code |
|
ECCV2022 |
Language-Grounded Indoor 3D Semantic Segmentation in the Wild |
code |
loss enlightened |
ECCV2022 |
Learning with Free Object Segments for Long-Tailed Instance Segmentation |
|
|
ECCV2022 |
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation |
code |
|
ICLR2022 |
Label-Efficient Semantic Segmentation with Diffusion Models |
code |
diffusion for seg |