Person re-ID baseline with triplet loss
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Updated
Dec 3, 2019 - Python
Person re-ID baseline with triplet loss
Pytorch code for Deep Kronecker-Product Matching and Group-shuffling Random Walk for Person Re-ID [TPAMI]
Official Pytorch Implementation of our paper: Video Person Re-ID : Fantastic Techniques and Where to Find Them
[TIP2020] Adaptive Graph Representation Learning for Video Person Re-identification
An independent implementation to reproduce the paper "RGB-Infrared Cross-Modality Person Re-Identification" from ICCV2017
(Pytorch and Tensorflow) Implementation of Weighted Contrastive Loss (Deep Metric Learning by Online Soft Mining and Class-Aware Attention)
Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification (ICCV 2023)
Incremental Generative Occlusion Adversarial Suppression Network for Person ReID (IEEE T-IP 2021)
An attempt to replicate the paper "Multi-shot Pedestrian Re-identification via Sequential Decision Making (CVPR2018)"
Invisible backdoor attack with dynamic triggers against person re-identification (IEEE T-IFS 2023)
DROP: Decouple Re-Identification and Human Parsing with Task-specific Features for Occluded Person Re-identification (ArXiv 2024)
FusionNeuralNetwork about person Re-id
This project is designed for one shot face identify people in video
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