Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)
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Updated
Jun 8, 2021 - Python
Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)
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
"Exploring Vision Transformers for Fine-grained Classification" at CVPRW FGVC8
PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
Official repository for the paper "Salient Mask-Guided Vision Transformer for Fine-Grained Classification" (VISIGRAPP '23)
Code release for "Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification"
Fine grained image classification using Bi-linear CNN's and Attention models
[CVPRW2024 FGVC11 (Best paper award)] Official pytorch implementation of the paper: "ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery"
FGVC Video completion in google colab using google drive
Source code for the ADAM submission on the PlantCLEF2025 challenge
4th/102 (Top 3.9%) | FathomNet-CLEF 2026 Positive-Unlabeled Object Detection in Marine Images | CVPR 2026 FGVC Workshop | 0.2808 mAP
FGIC - World Architectural Buildings Dataset for Multi‑Class Image Classification
Top 6.5% (86/1317) Kaggle solution for Plant Pathology 2020 - FGVC7 (CVPR 2020): apple leaf disease classification with an EfficientNet-B7 + InceptionResNetV2 ensemble. Tested PyTorch/timm rewrite of the original TPU code, with stratified cross-validation, class-imbalance reweighting, TTA and OOF-weighted ensembling. 0.97406 ROC AUC.
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