MobileNet
V1 文章标题：MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications 作者：Andrew G. Howard, Menglong Zhu, Bo Chen, Dmitry Kalenichenko, …
Category
Deep Learning
Deep Learning 分类下的 37 篇文章。
LCNet
PP- 文章标题：PP-LCNet: A Lightweight CPU Convolutional Neural Network 作者：Cheng Cui, Tingquan Gao, Shengyu Wei, Yuning Du, Ruoyu Guo, Shuilong Dong, Bin Lu, Ying …
GhostNet
文章标题：GhostNet: More Features from Cheap Operations 作者：Kai Han, Yunhe Wang, Qi Tian, Jianyuan Guo, Chunjing Xu, Chang Xu 发表时间：(CVPR 2020) 官方源码 GhostNets 文章标 …
Distilling Knowledge
文章标题：Distilling the knowledge in a neural network 作者：Hinton G, Vinyals O, Dean J. 发表时间：(NIPS 2014) Distillation $$ q_i = \frac{exp(z_i/T)}{\sum _j exp(z_j/T)} …
VGGNet
文章标题：Very Deep Convolutional Networks for Large-Scale Visual Recognition 作者：Simonyan K, Zisserman A. V 发表时间：(ICLR 2015) 论文主页 VGG是2014年ImageNet图像分类竞赛亚军，定位竞赛冠军，由牛 …
SENet
文章标题：Squeeze-and-Excitation Networks 作者：Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Enhua Wu 发表时间：(CVPR 2018) Official Code External-Attention-pytorch …
ResNet
文章标题：Deep Residual Learning for Image Recognition 代码地址 pytorch版 作者：Kaiming He ，Xiangyu Zhang ，Shaoqing Ren ，Jian Sun，Microsoft Research 发表时间：(CVPR 2016) CVPR论文主 …
Inception
策略：split-transform-merge V1（GoogLeNet） 文章标题：Going Deeper with Convolutions 作者：Christian Szegedy，Wei Liu，Yangqing Jia，Pierre Sermanet，Scott Reed，Dragomir …
EfficientNet
文章标题：EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks 作者：Mingxing Tan, Quoc V. Le 发表时间：(ICML 2019) Official Code EfficientNet PyTorch …
ConvNeXt
文章标题：A ConvNet for the 2020s 作者：Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie 发表时间：2022 Official Code ResNet …
AutoML
NIR 文章标题：Neural Inheritance Relation Guided One-Shot Layer Assignment Search 作者：Rang Meng, Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu 发表时间：(AAAI 2020) 相同FLOPs …
AlexNet
文章标题：ImageNet Classification with Deep Convolutional Neural Networks 作者：Alex Krizhevsky, Ilya Sutskever, Hinton 发表时间：(NIPS 2012) 论文主页 AlexNet是2012年ImageNet图像分类竞 …