PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
-
Updated
Apr 16, 2021 - Python
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)
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
[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."