"Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning" by Yue Duan (AAAI 2024)
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Updated
Aug 8, 2024 - Python
"Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning" by Yue Duan (AAAI 2024)
Python code to implement a commonsense knowledge inference module (CKIM) assisted deep learning method for visual object detection
1st Place Code for FungiCLEF 2023 Competition from UstcAIGroup
unofficial PyTorch implementation of Look into object paper (CVPR2020).
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.
Official implementation of "Relational Proxies: Emergent Relationships as Fine-Grained Discriminators", NeurIPS 2022.
Fine-grained classification of 200 species of birds
FGVC project with the Stanford Dogs dataset.
PyTorch code for the ICME 2021 paper Selective, Structural, Subtle: Trilinear Spatial-Awareness for Few-Shot Fine-Grained Visual Recognition.
Code release for "Making a Bird AI Expert Work for You and Me (TPAMI 2023)".
Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features
[IJCAI 2023] CLE-ViT: Contrastive Learning Encoded Transformer for Ultra-Fine-Grained Visual Categorization.
Official implementation of "Transitivity Recovering Decompositions: Interpretable and Robust Fine-Grained Relationships", NeurIPS 2023.
PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification
The repository contains supplementary material to my Master's thesis - Fine-grained Visual Recognition with Side Information
A collection of differentiable SVD methods and ICCV21 "Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling?"
The source code for the TMM paper: Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network
FGVCLib is an open-source and well documented library for Fine-grained Visual Classification.
Bilinear CNNs in PyTorch
[Pattern Recognition] Mix-ViT: Mixing Attentive Vision Transformer for Ultra-Fine-Grained Visual Categorization.
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