Yao-DD / S3N
☆86Updated 4 years ago
Alternatives and similar repositories for S3N:
Users that are interested in S3N are comparing it to the libraries listed below
- pytorch implementation of Fine-grained Recognition: Accounting for Subtle Differences between Similar Classes☆25Updated 4 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 5 years ago
- PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Cl…☆168Updated 3 years ago
- Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020☆125Updated 3 years ago
- A pytorch reimplementation of Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition in Resnet.☆54Updated 5 years ago
- code repository of “Rethinking the Route Towards Weakly Supervised Object Localization” in CVPR 2020☆69Updated 4 years ago
- Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification☆93Updated 5 years ago
- [CVPR 2019] Pytorch implementation for "Towards Universal Object Detection by Domain Attention."☆75Updated last year
- ☆84Updated 3 years ago
- Object Instance Mining for Weakly Supervised Object Detection (AAAI 2020)☆71Updated 4 years ago
- Reimplementation of Mutual-Channel Loss for Fine-Grained Image Classification.☆37Updated 4 years ago
- Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.☆102Updated 4 years ago
- (CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization☆164Updated 6 years ago
- Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)☆217Updated 3 years ago
- ☆79Updated 3 years ago
- Trilinear Attention Sampling Network for Fine-grained Image Recognition☆219Updated 3 years ago
- Weakly Supervised Attention Pyramid Convolutional Neural Network for Fine-Grained Visual Classification (TIP2021)☆47Updated 5 months ago
- Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆105Updated 4 years ago
- The pytorch implementation of the Min-Entropy Latent Model for Weakly Supervised Object Detection☆104Updated 4 years ago
- Implementation of 'Learning a Unified Sample Weighting Network for Object Detection' [CVPR 2020]☆87Updated 4 years ago
- Code release for OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer (TIP2020)☆45Updated 4 years ago
- Implementation of "Distribution Alignment: A Unified Framework for Long-tail Visual Recognition"(CVPR 2021)☆117Updated 3 years ago
- Implementation of "Harmonizing Transferability and Discriminability for Adapting Object Detectors" (CVPR 2020)☆113Updated 4 years ago
- Code and pretrained models for LIP: Local Importance-based Pooling (ICCV 19)☆219Updated 3 years ago
- This is a pytorch type of block,including Non-local block,Simple Non-local block,GC block and all GC block; refer to paper《GCNet: Non-lo…☆82Updated 4 years ago
- Global Second-order Pooling Convolutional Networks (cvpr2019 GSoP)☆131Updated last year
- Look-into-Object: Self-supervised Structure Modeling for Object Recognition (CVPR 2020)☆113Updated 5 months ago
- ☆164Updated 2 years ago
- Progressive Co-Attention Network for Fine-Grained Visual Classification☆32Updated 3 years ago