PSANet

Attention network

A deep learning framework for semantic segmentation with spatial attention mechanisms

PSANet: Point-wise Spatial Attention Network for Scene Parsing, ECCV2018.

GitHub

218 stars
12 watching
37 forks
Language: C++
last commit: over 5 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
hszhao/pspnet A PyTorch implementation of a deep learning model for semantic image segmentation 1,598
hszhao/icnet Real-time semantic segmentation software for high-resolution images using a deep neural network architecture 605
bruinxiong/modified-crunet-and-residual-attention-network.mxnet An MXNet implementation of a modified deep neural network architecture for image classification 67
koichiro11/residual-attention-network An image classification neural network implementation using attention mechanisms and residual learning 94
pistony/residualattentionnetwork A Gluon implementation of Residual Attention Network for image classification tasks 108
fwang91/residual-attention-network An implementation of a deep neural network architecture using attention mechanisms and residual connections for image classification tasks. 554
zhouyanzhao/orn A deep learning framework implementation of an oriented response network for visual recognition tasks 223
speedinghzl/ccnet An implementation of a deep learning model for semantic segmentation using a novel attention mechanism to capture long-range dependencies in images. 1,432
hellochick/pspnet-tensorflow A TensorFlow-based implementation of a semantic segmentation network for image classification tasks 326
hyeonwoonoh/deconvnet Deconvolution network architecture for semantic segmentation 325
shaoqingren/spp_net Re-implementation of an object detection algorithm described in the ECCV 2014 paper Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition. 364
javeywang/pyramid-attention-networks-pytorch An implementation of a deep learning model using PyTorch for semantic segmentation tasks. 237
canjie-luo/moran_v2 A deep learning framework for scene text recognition with rectification and attention mechanisms. 639
tqtg/hierarchical-attention-networks An implementation of a neural network architecture for document classification using hierarchical attention mechanisms 87
shichenliu/condensenet An efficient CNN architecture for mobile devices with learned group convolutions and dense connectivity 694