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python-machine-learning-algorithm

Python-Machine-Learning-Algorithm

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

r3net

Code for the IJCAI 2018 paper "R^3Net: Recurrent Residual Refinement Network for Saliency Detection"

ras-pytorch

Pytorch code for our TIP20 paper: Reverse Attention Based Residual Network for Salient Object Detection..

reading-list

Reading list on deep learning

res2net-pretrainedmodels

(ImageNet pretrained models) The official pytorch implemention of the TPAMI paper "Res2Net: A New Multi-scale Backbone Architecture"

resnest

ResNeSt: Split-Attention Networks

resnext

Implementation of a classification framework from the paper Aggregated Residual Transformations for Deep Neural Networks

scrn

Code of Stacked Cross Refinement Network for Edge-Aware Salient Object Detection (ICCV 2019)

segment_transparent_objects

Data and code for ECCV2020 paper 'Segmenting Transparent Objects in the Wild'

sinet

Camouflaged Object Detection, CVPR 2020 (Oral)

soctoolbox

Efficient Toolbox to quickly evaluate SOC benchmark.

sod-cnns-based-code-summary-

The summary of code and paper for salient object detection with deep learning

vgg_fpn

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