ZF4444 / MMAL-NetLinks
This is a PyTorch implementation of the paper "Multi-branch and Multi-scale Attention Learning for Fine-Grained Visual Categorization (MMAL-Net)" (Fan Zhang, Meng Li, Guisheng Zhai, Yizhao Liu).
☆254Updated 4 years ago
Alternatives and similar repositories for MMAL-Net
Users that are interested in MMAL-Net are comparing it to the libraries listed below
Sorting:
- Code release for Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches (ECCV2020)☆220Updated 4 years ago
- PyTorch Implementation Of WS-DAN(See Better Before Looking Closer: Weakly Supervised Data Augmentation Network for Fine-Grained Visual Cl…☆170Updated 3 years ago
- Learning Attentive Pairwise Interaction for Fine-Grained Classification, AAAI-2020☆128Updated 3 years ago
- ☆86Updated 4 years ago
- ☆285Updated 5 years ago
- Trilinear Attention Sampling Network for Fine-grained Image Recognition☆219Updated 3 years ago
- A PyTorch implementation of WS-DAN (Weakly Supervised Data Augmentation Network) for FGVC (Fine-Grained Visual Classification)☆410Updated 5 years ago
- CAM图的resnet50版本☆155Updated 4 years ago
- This is a PyTorch implementation of the ECCV2018 paper "Learning to Navigate for Fine-grained Classification" (Ze Yang, Tiange Luo, Dong …☆458Updated 3 years ago
- CVPR 2020 oral paper: Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax.☆354Updated 3 years ago
- Code release for The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification (TIP 2020)☆260Updated 2 years ago
- The official implementation of Equalization Loss for Long-Tailed Object Recognition (CVPR 2020) based on Detectron2. https://arxiv.org/a…☆200Updated last year
- Look-into-Object: Self-supervised Structure Modeling for Object Recognition (CVPR 2020)☆115Updated 10 months ago
- @CVPR2018: Efficient unrolling iterative matrix square-root normalized ConvNets, implemented by PyTorch (and code of B-CNN,Compact biline…☆275Updated 4 years ago
- Official implementation of 'FMix: Enhancing Mixed Sample Data Augmentation'☆337Updated 4 years ago
- ☆81Updated 3 years ago
- Attention-based Dropout Layer for Weakly Supervised Object Localization (CVPR 2019 Oral)☆197Updated 5 years ago
- Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.☆104Updated 4 years ago
- A Faster PyTorch implementation of bilinear CNN for fine-grained image recognition☆127Updated 7 years ago
- A pytorch implementation of Bilinear CNNs for Fine-grained Visual Recognition(BCNN).☆48Updated 5 years ago
- This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-N…☆402Updated 2 years ago
- Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification☆95Updated 5 years ago
- A pytorch implementation of the "Selective Convolutional Descriptor Aggregation" algorithm☆14Updated last year
- A pytorch reimplementation of Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition in Resnet.☆55Updated 6 years ago
- PyTorch implementation of AutoAugment.☆159Updated 4 years ago
- The official TensorFlow implementation of WS-DAN.☆108Updated 4 years ago
- ACCV Fine-grained recognition code☆59Updated 3 years ago
- Code for paper "Learning Semantically Enhanced Feature for Fine-grained Image Classification"☆32Updated 4 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 5 years ago
- Destruction and Construction Learning for Fine-grained Image Recognition☆592Updated 5 years ago