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
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