Enjia / Spatial-Regularization-Network-in-TensorflowLinks
implementation of “Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification” in Tensorflow
☆26Updated 7 years ago
Alternatives and similar repositories for Spatial-Regularization-Network-in-Tensorflow
Users that are interested in Spatial-Regularization-Network-in-Tensorflow are comparing it to the libraries listed below
Sorting:
- Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.☆104Updated 5 years ago
- Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification☆96Updated 5 years ago
- Paper implementation☆40Updated 6 years ago
- Multi-label Image Recognition by Recurrently Discovering Attentional Regions (Pytorch implementation)☆89Updated 7 years ago
- A Baseline for Multi-Label Image Classification Using Ensemble Deep CNN☆86Updated 4 years ago
- A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition☆127Updated 7 years ago
- Train CNN for Pascal VOC 2007 Multi label Image classification☆38Updated 7 years ago
- ☆52Updated 5 years ago
- Orderless Recurrent Models for Multi-label Classification☆43Updated 5 years ago
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)☆58Updated 4 years ago
- PyTorch implementation of Center Loss & Contrastive-Center Loss.☆63Updated 7 years ago
- Unofficial implementation of Convolutional Block Attention Module (CBAM)☆101Updated 7 years ago
- PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segm…☆268Updated 2 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 5 years ago
- ☆73Updated 7 years ago
- implement of Multi-Attention Multi-Class Constraint for Fine-grained Image Recognition with keras☆14Updated 5 years ago
- ☆61Updated 7 years ago
- (CVPR2018) Adversarial Complementary Learning for Weakly Supervised Object Localization☆164Updated 7 years ago
- A pytorch reimplementation of Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition in Resnet.☆56Updated 6 years ago
- [ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning☆159Updated 6 years ago
- Pytorch implementation of three Multiple Instance Learning or Multi-classification papers☆133Updated 6 years ago
- Code for C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection☆61Updated 5 years ago
- ☆163Updated 3 years ago
- The reimplementation of Class Activation Map in pytorch☆25Updated 7 years ago
- A pytorch implementation of Bilinear CNNs for Fine-grained Visual Recognition(BCNN).☆49Updated 6 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
- PFNet: A Novel Part Fusion Network for Fine-grained Visual Categorization☆28Updated 6 years ago
- PyTorch implementation of bilinear CNN for fine-grained image recognition☆395Updated 6 years ago
- Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)☆197Updated 5 years ago
- PyTorch implementation of Deep Semantic Dictionary Learning for Multi-label Image Classification, AAAI 2021.☆49Updated 4 years ago