add versatile filters

readme.md

@@ -4,11 +4,14 @@ including GhostNet, TinyNet, TNT (Transformer in Transformer) developed by Huawe
 - [TinyNet Code](#tinynet-code)
 - [TNT Code](#tnt-code)
 - [LegoNet Code](#legonet-code)
+- [Versatile Filters Code](#versatile-filters-code)
 - [Citation](#citation)
 - [Other versions](#other-versions)
 
 **News**
 
+2021/08/31 The code of Versatile Filters (https://github.com/huawei-noah/Versatile-Filters) has been merged into this repo.
+
 2021/08/26 The code of LegoNet (https://github.com/huawei-noah/LegoNet) has been merged into this repo.
 
 2021/06/15 The code of TNT (Transformer in Transformer) has been released in this repo.
@@ -45,9 +48,13 @@ This repo provides **training code** of TNT (Transformer in Transformer) for PyT
 - We also opensource code on [MindSpore Model Zoo](https://gitee.com/mindspore/mindspore/tree/master/model_zoo/research/cv/TNT).
 
 ## LegoNet Code
-This repo provides the implementation of ICML2019 paper [LegoNet: Efficient Convolutional Neural Networks with Lego Filters](http://proceedings.mlr.press/v97/yang19c/yang19c.pdf)
+This repo provides the implementation of paper [LegoNet: Efficient Convolutional Neural Networks with Lego Filters (ICML 2019)](http://proceedings.mlr.press/v97/yang19c/yang19c.pdf)
 - PyTorch: [./legonet_pytorch](https://github.com/huawei-noah/CV-backbones/tree/master/legonet_pytorch).
 
+## Versatile Filters Code
+This repo provides the implementation of paper [Learning Versatile Filters for Efficient Convolutional Neural Networks (NeurIPS 2018)](https://papers.nips.cc/paper/7433-learning-versatile-filters-for-efficient-convolutional-neural-networks)
+- PyTorch: [./versatile_filters](https://github.com/huawei-noah/CV-backbones/tree/master/versatile_filters).
+
 
 ## Citation
 ```
@@ -75,6 +82,12 @@ This repo provides the implementation of ICML2019 paper [LegoNet: Efficient Conv
     booktitle={ICML},
     year={2019}
   }
+@inproceedings{wang2018learning,
+  title={Learning versatile filters for efficient convolutional neural networks},
+  author={Wang, Yunhe and Xu, Chang and Chunjing, XU and Xu, Chao and Tao, Dacheng},
+  booktitle={NeurIPS},
+  year={2018}
+}
 ```
 
 ## Other versions of GhostNet

versatile_filters/License.txt

@@ -0,0 +1,13 @@
+Copyright (c) 2019. Huawei Technologies Co., Ltd.
+ All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
+
+1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
+
+2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
+
+3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+

versatile_filters/THIRD PARTY OPEN SOURCE SOFTWARE NOTICE.txt

@@ -0,0 +1,74 @@
+Please note we provide an open source software notice for the third party open source software along with this software and/or this software component contributed by Huawei (in the following just “this SOFTWARE”). The open source software licenses are granted by the respective right holders.
+
+Warranty Disclaimer
+THE OPEN SOURCE SOFTWARE IN THIS SOFTWARE IS DISTRIBUTED IN THE HOPE THAT IT WILL BE USEFUL, BUT WITHOUT ANY WARRANTY, WITHOUT EVEN THE IMPLIED WARRANTY OF MERCHANTABILITY OR FITNESS FOR A PARTICULAR PURPOSE. SEE THE APPLICABLE LICENSES FOR MORE DETAILS.
+
+Copyright Notice and License Texts
+Software: PyTorch Examples 0.4
+Copyright notice: 
+Copyright (c) 2017
+
+License: BSD 3-Clause License
+
+Copyright (c) 2017, 
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+* Neither the name of the copyright holder nor the names of its
+  contributors may be used to endorse or promote products derived from
+  this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+Copyright Notice and License Texts
+Software: torchvision 0.2.0
+Copyright notice: 
+Copyright (c) Soumith Chintala 2016
+
+License: BSD 3-Clause License
+
+Copyright (c) Soumith Chintala 2016, 
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+  list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+  this list of conditions and the following disclaimer in the documentation
+  and/or other materials provided with the distribution.
+
+* Neither the name of the copyright holder nor the names of its
+  contributors may be used to endorse or promote products derived from
+  this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
+AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
+IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
+FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
+DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
+SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
+CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
+OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
+OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.