abhimanyudubey / confusionLinks
Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"
☆201Updated 6 years ago
Alternatives and similar repositories for confusion
Users that are interested in confusion are comparing it to the libraries listed below
Sorting:
- ☆143Updated 3 years ago
- Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.☆103Updated 3 years ago
- Trilinear Attention Sampling Network for Fine-grained Image Recognition☆218Updated 3 years ago
- Caffe codes for our papers "Multiple Instance Detection Network with Online Instance Classifier Refinement" and "PCL: Proposal Cluster Le…☆218Updated 4 years ago
- CurriculumNet: Weakly Supervised Learning from Large-Scale Web Images☆159Updated 4 years ago
- Implementation of our accepted CVPR 2018 paper "Rethinking Feature Distribution for Loss Functions in Image Classification"☆173Updated 7 years ago
- ☆231Updated 6 years ago
- [ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning☆158Updated 5 years ago
- Source code of our TIP 2018 paper "Object-Part Attention Model for Fine-grained Image Classification"☆92Updated 6 years ago
- iMaterialist Challenge on Product Recognition at FGVC6, CVPR 2019☆103Updated 4 years ago
- ☆52Updated 5 years ago
- @CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact biline…☆275Updated 4 years ago
- A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition☆127Updated 7 years ago
- ☆225Updated 3 years ago
- Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆106Updated 5 years ago
- Multi-label Image Recognition by Recurrently Discovering Attentional Regions (Pytorch implementation)☆90Updated 6 years ago
- PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segm…☆267Updated last year
- Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018☆196Updated 6 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 5 years ago
- Fine-grained detection on Vehicle Model/Make☆71Updated 7 years ago
- Unofficial implementation of Convolutional Block Attention Module (CBAM)☆100Updated 6 years ago
- (ECCV2018) Self-produced Guidance for Weakly-supervised Object Localization☆147Updated 5 years ago
- The official TensorFlow implementation of WS-DAN.☆108Updated 4 years ago
- ☆83Updated 6 years ago
- A re-implementation of our CVPR 2019 paper "Adaptively Connected Neural Networks"☆145Updated 5 years ago
- PyTorch implementation of "Soft Proposal Networks for Weakly Supervised Object Localization", ICCV 2017.☆211Updated 7 years ago
- (CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization☆164Updated 6 years ago
- A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2)☆157Updated 6 years ago
- Some projects from Xuanyi Dong.☆90Updated this week
- PyTorch implementation of bilinear CNN for fine-grained image recognition☆395Updated 6 years ago