The project aims to enhance fine-grained visual recognition accuracy. Integrate Hierarchical Bilinear Pooling (HBP) with ResNet architecture. Leverage ResNet's capabilities and pre-trained parameters. Provide accessibility to the codebase for broader research and adaptation.

Python code to implement a commonsense knowledge inference module (CKIM) assisted deep learning method for visual object detection

FGVC project with the Stanford Dogs dataset.

The repository contains supplementary material to my Master's thesis - Fine-grained Visual Recognition with Side Information

Fine-grained classification of 200 species of birds

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

1st Place Code for FungiCLEF 2023 Competition from UstcAIGroup

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

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

Official implementation of "Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships", NeurIPS 2023.

[IJCAI 2023] CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization.

Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features

Official implementation of "Relational Proxies: Emergent Relationships as Fine-Grained Discriminators", NeurIPS 2022.

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

Code release for Your “An Erudite Fine-Grained Visual Classification Model (CVPR 2023)"

Fine-Grained Visual Classification for Plants & Flowers

Bilinear CNNs in PyTorch

PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification

The source code for the TMM paper: Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network