baoshishui,github

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

bdcn

The code for the paper Bi-Directional Cascade Network for Perceptual Edge Detection( CVPR2019 ),and add the re_Dice loss from the paper Learning to Predict Crisp Boundaries (ECCV 2018)

casenet

PyTorch implementation of CASENet

casenet-1

A Pytorch implementation of CASENet for the Cityscapes Dataset

ccnn

Code repository of the paper "Towards a General Purpose CNN for Long Range Dependencies in N-D" https://arxiv.org/abs/2206.03398.

ced

Deep Crisp Boundaries

cobnet

convolution oriented boundaries (pytorch)

dds

Semantic Edge Detection with Diverse Deep Supervision

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程配套源代码和PPT

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

detection-pytorch-notebook

代码 -《深度学习之PyTorch物体检测实战》

detr

End-to-End Object Detection with Transformers

dexined

DexiNed: Dense EXtreme Inception Network for Edge Detection

dff

Code for Dynamic Feature Fusion for Semantic Edge Detection https://arxiv.org/abs/1902.09104

dff-pytorch

A Pytorch implementation of Dynamic Feature Fusion for Semantic Edge detection(IJCAI 2019,unoffical)

doobnet

Caffe implementation of DOOBNet https://arxiv.org/abs/1806.03772

drc-release

The code of "Learning Crisp Boundaries Using Deep Refinement Network and Adaptive Weighting Loss"

edter

EDTER: Edge Detection with Transformer, in CVPR 2022

fast-edge-detection-using-structured-forests

Doll´ar, P., and Zitnick, C. L. 2015. Fast edge detection using structured forests. IEEE transactions on pattern analysis and machine intelligence 37(8):1558–1570