Fine grained image classification using Bi-linear CNN's and Attention models
-
Updated
Dec 9, 2019 - Jupyter Notebook
Fine grained image classification using Bi-linear CNN's and Attention models
FGVC Video completion in google colab using google drive
PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)
"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8
Code release for "Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification"
Official repository for the paper "Salient Mask-Guided Vision Transformer for Fine-Grained Classification" (VISIGRAPP '23)
Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.
Awesome-ComputerVision
Applied Self Supervised Learning techniques such as Jigsaw as pretext task, SRGAN and SimCLR for fine-grained classification
[CVPRW2024 FGVC11 (Best paper award)] Official pytorch implementation of the paper: "ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery"
Add a description, image, and links to the fgvc topic page so that developers can more easily learn about it.
To associate your repository with the fgvc topic, visit your repo's landing page and select "manage topics."