ResidualAttentionNetwork-pytorch
Image classifier
Implementing a deep learning framework for image classification using Residual Attention Network architecture
a pytorch code about Residual Attention Network. This code is based on two projects from
682 stars
10 watching
166 forks
Language: Python
last commit: about 6 years ago
Linked from 1 awesome list
weiaicunzai/awesome-image-classificationRelated projects:
| Repository | Description | Stars |
|---|---|---|
 bmsookim/wide-resnet.pytorch | PyTorch implementation of wide residual networks for image classification tasks on CIFAR-10 and CIFAR-100 datasets | 462 |
 4uiiurz1/pytorch-res2net | Implementations of deep learning architectures using PyTorch for image classification tasks on various datasets. | 112 |
 dyhan0920/pyramidnet-pytorch | An implementation of a deep neural network architecture for image classification tasks | 273 |
 felixgwu/img_classification_pk_pytorch | A PyTorch project for comparing image classification models and facilitating quick experiment setup | 366 |
 d-li14/regnet.pytorch | An implementation of a PyTorch-based neural network architecture for image classification tasks. | 68 |
 xternalz/wideresnet-pytorch | An implementation of Wide Residual Networks in PyTorch for efficient deep learning on CIFAR10/100 datasets. | 334 |
 isht7/pytorch-deeplab-resnet | A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
 zhanghang1989/pytorch-encoding | A Python framework for building deep learning models with optimized encoding layers and batch normalization. | 2,044 |
 pistony/residualattentionnetwork | A Gluon implementation of Residual Attention Network for image classification tasks | 108 |
 kaiyangzhou/dassl.pytorch | A PyTorch toolbox for supporting research and development of domain adaptation, generalization, and semi-supervised learning methods in computer vision. | 1,236 |
 huguyuehuhu/hcn-pytorch | Replication of a PyTorch model for action recognition and detection from skeleton data | 218 |
 szagoruyko/binary-wide-resnet | An implementation of a 1-bit weight neural network architecture using PyTorch | 124 |
 cmsflash/beauty-net | Provides a basic framework for training deep learning models on image classification tasks using PyTorch | 187 |
 fwang91/residual-attention-network | An implementation of a deep neural network architecture using attention mechanisms and residual connections for image classification tasks. | 554 |
 l0sg/relational-rnn-pytorch | An implementation of DeepMind's Relational Recurrent Neural Networks (Santoro et al. 2018) in PyTorch for word language modeling | 245 |