ferriswym / learn-with-noisy-labelsLinks
☆14Updated 6 years ago
Alternatives and similar repositories for learn-with-noisy-labels
Users that are interested in learn-with-noisy-labels are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of Res2Net☆115Updated 6 years ago
- A pytorch reimplementation of Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition in Resnet.☆56Updated 6 years ago
- A reimplementation of the SKNet(Selective Kernel Networks) by pytorch☆70Updated 6 years ago
- HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs simply implement☆44Updated 6 years ago
- ☆52Updated 6 years ago
- center loss for face recognition☆179Updated 5 years ago
- PyTorch implementation of Center Loss & Contrastive-Center Loss.☆64Updated 7 years ago
- pytorch implement of Label Smoothing☆32Updated 5 years ago
- Reimplementation of Mutual-Channel Loss for Fine-Grained Image Classification.☆37Updated 5 years ago
- Unofficial implementation of Convolutional Block Attention Module (CBAM)☆101Updated 7 years ago
- ☆75Updated 6 years ago
- Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.☆103Updated 3 years ago
- Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.☆105Updated 5 years ago
- Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020☆131Updated 3 years ago
- Pytorch version of model in NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆21Updated 5 years ago
- Class Activation Mapping☆44Updated 7 years ago
- Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆105Updated 5 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 6 years ago
- Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification☆96Updated 6 years ago
- Trilinear Attention Sampling Network for Fine-grained Image Recognition☆218Updated 3 years ago
- [ IJCAI-20 ] Split to Be Slim: An Overlooked Redundancy in Vanilla Convolution☆129Updated 5 years ago
- Self-distillation with Batch Knowledge Ensembling Improves ImageNet Classification☆82Updated 4 years ago
- A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition☆129Updated 7 years ago
- Code for our paper "Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognitio…☆53Updated 4 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…☆83Updated 4 years ago
- Implementation of Dynamic ReLU on Pytorch☆205Updated 5 years ago
- KSSNet: Multi-Label Classification with Label Graph Superimposing☆60Updated 5 years ago
- PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Cl…☆174Updated 4 years ago
- Associating Multi-Scale Receptive Fields for Fine-grained Recognition (ICIP2020)☆29Updated 5 years ago
- This is a SE_DenseNet which contains a senet (Squeeze-and-Excitation Networks by Jie Hu, Li Shen, and Gang Sun) module, written in Pytor…☆103Updated 5 years ago