Markin-Wang / FFVT
[BMVC 2021] The official PyTorch implementation of Feature Fusion Vision Transformer for Fine-Grained Visual Categorization
☆48Updated last year
Related projects: ⓘ
- ☆78Updated 3 years ago
- [ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification☆145Updated last year
- Code release for Your “An Erudite Fine-Grained Visual Classification Model (CVPR 2023)"☆14Updated last year
- Official implementation of "Fine-Grained Object Classification via Self-Supervised Pose Alignment".☆23Updated 2 years ago
- ☆25Updated last year
- RAMS-Trans: Recurrent Attention Multi-scale Transformer for Fine-grained Image Recognition☆12Updated 2 years ago
- Codes for ECCV2022 paper - contrastive deep supervision☆68Updated 2 years ago
- Progressive Co-Attention Network for Fine-Grained Visual Classification☆31Updated 3 years ago
- PyTorch Code for Feature Boosting, Suppression, and Diversification for Fine-Grained Visual Classification☆19Updated 3 years ago
- (CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks☆108Updated last year
- Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification (TIP2021)☆47Updated last month
- ☆29Updated last year
- Official Codes and Pretrained Models for Dynamic MLP, CVPR2022, https://arxiv.org/abs/2203.03253☆87Updated 2 years ago
- Code for Part-Guided Relational Transformers for Fine-Grained Visual Recognition, appeared in TIP 2021☆21Updated 10 months ago
- Source code of the paper Fine-Grained Visual Classification via Internal Ensemble Learning Transformer☆39Updated 5 months ago
- This repository is the code of paper "Multi-scale Adaptive Task Attention Network for Few-Shot Learning (ICPR-2022)".☆26Updated 2 years ago
- Official Implementation of AlignMixup - CVPR 2022☆68Updated 2 years ago
- The summary of code and paper for few-shot learning in fine-grained recognition☆54Updated 5 months ago
- Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.☆185Updated last year
- [TCSVT23, Highly Cited Paper] Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment☆17Updated last year
- The official implementation of ELSA: Enhanced Local Self-Attention for Vision Transformer☆115Updated last year
- Official PyTorch implementation of "TDAM: Top-down attention module for CNNs"☆11Updated last year
- FutabaSakuraXD / Farewell-to-Mutual-Information-Variational-Distiilation-for-Cross-Modal-Person-Re-identification☆52Updated 3 years ago
- Code release for "Progressive Learning of Category-Consistent Multi-Granularity Features for Fine-Grained Visual Classification"☆15Updated 2 years ago
- [CVPR 2022] C2AM: Contrastive learning of Class-agnostic Activation Map for Weakly Supervised Object Localization and Semantic Segmentati…☆190Updated 4 months ago
- Official implementation of the paper "Rethinking Generalization in Few-Shot Classification" [NeurIPS 2022]☆51Updated last year
- Code release for the paper BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification. (TIP2020)☆49Updated 3 years ago
- Pytorch implementation of "ICCV2019-Learning a Mixture of Granularity-Specific Experts for Fine-Grained Categorization"☆25Updated 4 years ago
- This is an official implementation for "Making Vision Transformers Efficient from A Token Sparsification View".☆31Updated 2 months ago
- ☆23Updated 2 years ago