Image Classification Training Framework for Network Distillation

"Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning" by Yue Duan (AAAI 2024)

ai challenger 2018细粒度情感分类第一名解决方案,统一使用tensorflow和pytorch的一个框架

DCL revisied for CVPR FGVC7 - Plant Pathology 2020, implemented in Pytorch

This repository contains the official code for the paper "Learning from the Few: Fine-grained Approach to Wrist Pathology Recognition on a Limited Dataset".

unofficial PyTorch implementation of Look into object paper (CVPR2020).

Fine-grained classification of 200 species of birds

Enhancing Multi-Class Fine-Grained Classification through Hard Sample Discrimination

[TCSVT23, Highly Cited Paper] Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment

PyTorch code for the ICME 2021 paper Selective, Structural, Subtle: Trilinear Spatial-Awareness for Few-Shot Fine-Grained Visual Recognition.

Code for the Knowledge distillation work to enhance fine grained disease recognition.

Domain-specific, fine-grained topic classification, by training models using textbooks.

Firelast can really solve it!

AI-Challenger Baseline 细粒度用户评论情感分析

Fine-grained species classification

Code release for "Making a Bird AI Expert Work for You and Me (TPAMI 2023)".

Interpretable Transformer for Fine-grained Image Classification

Final project for the course Deep Learning for Computer Vision at TUM. Contributors: Amir Biran, Victor Aliende Da Matta, Giorgio Fabbro, Magnus Lindström, Paolo Notaro

[ICCV 2023] Learning Support and Trivial Prototypes for Interpretable Image Classification