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Created by Jinming Cao , Yangyan Li , Mingchao Sun, Ying Chen , Dani Lischinski , Daniel Cohen-Or , Baoquan Chen , and Changhe Tu . Transactions on Image Processing (TIP) 2022.
The main features of yangyanli/do-conv are: Plug and Play Modules.
Open-source alternatives to yangyanli/do-conv include: andrew-qibin/spnet — This repository is a PyTorch implementation for our CVPR2020 paper (non-commercial use only). d-li14/psconv — [ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer. dingxiaoh/acnet — Update (Aug 17, 2021): refactored the code of ACB. The readability has been greatly improved. You may call… goatmessi7/rfbnet — By Songtao Liu, Di Huang, Yunhong Wang. hszhao/pspnet — by Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia, details are in project page. iduta/pyconv — This is the PyTorch implementation of our paper "Pyramidal Convolution: Rethinking Convolutional Neural Networks for…
ECCV 2020 PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer
Update (Aug 17, 2021): refactored the code of ACB. The readability has been greatly improved. You may call switchtodeploy of an ACB to convert it to the inference-time structure. If you use ACB in your own model, the conversion is as easy as `` for m in yourmodel.modules(): if hasattr(m,…
This repository is a PyTorch implementation for our CVPR2020 paper (non-commercial use only).
