"Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning" by Yue Duan (AAAI 2024)
-
Updated
Apr 19, 2024 - Python
"Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning" by Yue Duan (AAAI 2024)
1st Place Code for FungiCLEF 2023 Competition from UstcAIGroup
unofficial PyTorch implementation of Look into object paper (CVPR2020).
Official implementation of "Relational Proxies: Emergent Relationships as Fine-Grained Discriminators", NeurIPS 2022.
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.
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 classification of 200 species of birds
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.
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?"
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 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.
Add a description, image, and links to the fine-grained-visual-categorization topic page so that developers can more easily learn about it.
To associate your repository with the fine-grained-visual-categorization topic, visit your repo's landing page and select "manage topics."