PRIS-CV / PMG-Progressive-Multi-Granularity-TrainingLinks
Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)
☆221Updated 4 years ago
Alternatives and similar repositories for PMG-Progressive-Multi-Granularity-Training
Users that are interested in PMG-Progressive-Multi-Granularity-Training are comparing it to the libraries listed below
Sorting:
- This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MM…☆257Updated 4 years ago
- PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Cl…☆173Updated 4 years ago
- Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020☆130Updated 3 years ago
- ☆285Updated 5 years ago
- ☆86Updated 4 years ago
- Trilinear Attention Sampling Network for Fine-grained Image Recognition☆218Updated 3 years ago
- ☆81Updated 4 years ago
- This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-N…☆406Updated 2 years ago
- A PyTorch implementation of WS-DAN (Weakly Supervised Data Augmentation Network) for FGVC (Fine-Grained Visual Classification)☆411Updated 5 years ago
- CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.☆355Updated 3 years ago
- A pytorch reimplementation of Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition in Resnet.☆55Updated 6 years ago
- Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)☆224Updated 3 years ago
- [ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer☆176Updated 5 years ago
- A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition☆127Updated 7 years ago
- Destruction and Construction Learning for Fine-grained Image Recognition☆593Updated 5 years ago
- pytorch implementation of Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes☆26Updated 5 years ago
- [CVPR 2019] Pytorch implementation for "Towards Universal Object Detection by Domain Attention."☆76Updated 2 years ago
- ☆280Updated 4 years ago
- pytorch implementation of Recurrent Attention CNN.☆48Updated 3 years ago
- The official TensorFlow implementation of WS-DAN.☆108Updated 4 years ago
- Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification (TIP2021)☆48Updated last year
- Official code of ICCV2021 paper "Residual Attention: A Simple but Effective Method for Multi-Label Recognition"☆213Updated 2 years ago
- Pytorch implementation for "A Novel Plug-in Module for Fine-Grained Visual Classification". fine-grained visual classification task.☆206Updated 2 years ago
- Reimplementation of Mutual-Channel Loss for Fine-Grained Image Classification.☆37Updated 5 years ago
- Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)☆332Updated 4 years ago
- PyTorch Implementation for SoftTriple Loss☆209Updated last year
- [ICCV 2021] Code for approximated exponential maximum pooling☆298Updated 2 years ago
- CAM图的resnet50版本☆158Updated 4 years ago
- Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)☆261Updated 3 years ago
- Multi-scale Positive Sample Refinement for Few-shot Object Detection, ECCV2020☆140Updated 5 years ago