TACJu / TransFGLinks
This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).
☆402Updated 2 years ago
Alternatives and similar repositories for TransFG
Users that are interested in TransFG are comparing it to the libraries listed below
Sorting:
- Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)☆220Updated 3 years ago
- Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.☆200Updated 2 years ago
- This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MM…☆254Updated 4 years ago
- PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Cl…☆170Updated 3 years ago
- Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020☆128Updated 3 years ago
- A PyTorch implementation of "MetaFormer: A Unified Meta Framework for Fine-Grained Recognition". A reference PyTorch implementation of “C…☆235Updated 3 years ago
- ☆81Updated 3 years ago
- Official code of ICCV2021 paper "Residual Attention: A Simple but Effective Method for Multi-Label Recognition"☆213Updated 2 years ago
- Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"☆427Updated last year
- Awesome Fine-grained Visual Classification☆231Updated last year
- An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.☆590Updated 4 years ago
- The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition☆669Updated 2 years ago
- A PyTorch implementation of WS-DAN (Weakly Supervised Data Augmentation Network) for FGVC (Fine-Grained Visual Classification)☆410Updated 5 years ago
- ☆278Updated 4 years ago
- [ICLR 2021 Spotlight] Code release for "Long-tailed Recognition by Routing Diverse Distribution-Aware Experts."☆271Updated 2 years ago
- Official implementation of paper "Query2Label: A Simple Transformer Way to Multi-Label Classification".☆440Updated 3 years ago
- CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.☆353Updated 2 years ago
- [CVPR 2022 Oral] Crafting Better Contrastive Views for Siamese Representation Learning☆287Updated 2 years ago
- Destruction and Construction Learning for Fine-grained Image Recognition☆592Updated 4 years ago
- Trilinear Attention Sampling Network for Fine-grained Image Recognition☆219Updated 3 years ago
- This is an official implementation for "Contextual Transformer Networks for Visual Recognition".☆532Updated 3 years ago
- A generic triplet data loader for image classification problems,and a triplet loss net demo.☆129Updated 4 years ago
- Pytorch version of Vision Transformer (ViT) with pretrained models. This is part of CASL (https://casl-project.github.io/) and ASYML proj…☆352Updated 4 years ago
- [ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification☆149Updated 2 years ago
- [TPAMI 2022 & CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers☆485Updated last year
- FcaNet: Frequency Channel Attention Networks☆279Updated 4 years ago
- This is an official implementation for "Self-Supervised Learning with Swin Transformers".☆656Updated 4 years ago
- [ICCV 2021] Code for approximated exponential maximum pooling☆295Updated 2 years ago
- ☆285Updated 5 years ago
- a collection of visualization function☆432Updated 3 years ago