Https GitHub com hujie frank SENet
Squeeze-and-Excitation Networks. Contribute to hujie-frank/SENet development by creating an account on GitHub.
SENet. Squeeze-and-Excitation Networks. Cuda 2.7k 772 · GENet. C++ 225 31 · Places2-CNNs. Forked from lishen-shirley/Places2-CNNs. Places2-401-CNN and Places2-365 ...
We show that these blocks can be stacked together to form SENet ... Models and code are available at https://github.com/hujie-frank/SENet. read more.
由 J Hu 著作available at https://github.com/hujie-frank/SENet. Index Terms—Squeeze-and-Excitation, Image representations, Attention, Convolutional Neural Networks. 2017 被引用 7716 次 —
Github 镜像仓库 源项目地址. ... The SENet-154 is one of our superior models used in ILSVRC 2017 Image Classification ... https://github.com/hujie-frank/senet.
由 J Hu 著作Code and models are available at https: //github.com/hujie-frank/SENet. Related Material [pdf] [supp] [arXiv] [video]. [bibtex]. 2018 被引用 7716 次 —
https://ieeexplore.ieee.org › document
Squeeze-and-Excitation Networks | IEEE Conference Publication | IEEE ...
由 J Hu 著作Code and models are available at https://github.com/hujie-frank/SENet. ... Persistent Link: https://xplorestaging.ieee.org/servlet/opac?punumber=8576498 2018 被引用 7716 次 —
... achieving a ∼25% relative improvement over the winning en- try of 2016. Code and models are available at https: //github.com/hujie-frank/SENet.
由 J Hu 著作Models and code are available at https://github.com/hujie-frank/SENet. Publication types. Research Support, Non-U.S. Gov't. 2020 被引用 7716 次 —