liudaizong / Residual-Attention-NetworkLinks
☆39Updated 7 years ago
Alternatives and similar repositories for Residual-Attention-Network
Users that are interested in Residual-Attention-Network are comparing it to the libraries listed below
Sorting:
- ☆73Updated 7 years ago
- PFNet: A Novel Part Fusion Network for Fine-grained Visual Categorization☆28Updated 6 years ago
- Unofficial implementation of Convolutional Block Attention Module (CBAM)☆100Updated 6 years ago
- PyTorch implementation of Center Loss & Contrastive-Center Loss.☆64Updated 7 years ago
- Implementation for <Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition> in ECCV'18.☆103Updated 2 years ago
- PyTorch implementation of Double Attention Net☆26Updated 6 years ago
- A pytorch reimplementation of Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition in Resnet.☆55Updated 6 years ago
- Code for our paper "Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognitio…☆53Updated 3 years ago
- Spatial Transformer Networks. Refer to daviddao/spatial-transformer-tensorflow.☆93Updated 6 years ago
- Code for the ECCV 2018 paper "Pairwise Confusion for Fine-Grained Visual Classification"☆201Updated 6 years ago
- An unofficial implementation of non-local deep features for salient object detection☆39Updated 6 years ago
- ☆52Updated 5 years ago
- Data-Driven Neuron Allocation for Scale Aggregation Networks☆52Updated 6 years ago
- ☆40Updated 7 years ago
- Associating Multi-Scale Receptive Fields for Fine-grained Recognition (ICIP2020)☆30Updated 4 years ago
- CBAM implementation on TensorFlow Slim☆106Updated 6 years ago
- A Pytorch Implementation for Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution☆30Updated 6 years ago
- Hierarchical Bilinear Pooling for Fine-Grained Visual Recognition reimplement in Pytorch.☆104Updated 4 years ago
- Pytorch implementation of StNet: Local and Global Spatial-Temporal Modeling for Action Recognition☆58Updated 6 years ago
- This is the PyTorch implementation of our paper "Cross-X learning for Fine-Grained Visual Categorization"☆74Updated 5 years ago
- The source code for the TMM paper: Part-Aware Fine-grained Object Categorization using Weakly Supervised Part Detection Network☆21Updated 6 years ago
- Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"☆105Updated 5 years ago
- Efficient HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs☆43Updated 6 years ago
- Multi-Label Image Classification via Knowledge Distillation from Weakly-Supervised Detection (ACM MM 2018)☆58Updated 3 years ago
- pytorch codes☆51Updated 5 years ago
- Train CNN for Pascal VOC 2007 Multi label Image classification☆36Updated 7 years ago
- ☆231Updated 6 years ago
- This repository is the implementation of AAAI 2020 paper: "Revisiting Bilinear Pooling: A Coding Perspective".☆45Updated 5 years ago
- A implementation of triplet loss with Pytorch☆16Updated 7 years ago
- Example of Deconvnet in PyTorch for VGG16☆64Updated 7 years ago