Channel Attention
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 …
Tag
Deep Learning
带有 Deep Learning 标签的 37 篇文章。
Channel && Spatial Attention
Directly estimate 3D attention map Residual Attention 文章标题：Residual Attention Network for Image Classification 作者：Fei Wang, Mengqing Jiang, Chen Qian, Shuo …
Branch Channel Attention
different branches SKNet 文章标题：Selective Kernel Networks 作者：Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang 发表时间：(CVPR 2019) Official Code SK_module 用multiple scale …
GAN
文章标题：Generative Adversarial Networks 作者：Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, Yoshua …
DALL·E·2
文章标题：Hierarchical Text-Conditional Image Generation with CLIP Latents | 作者：Aditya Ramesh, Prafulla Dhariwal, Alex Nichol, Casey Chu, Mark Chen 发表时间：(2022） …
CycleGAN
文章标题：Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks 作者：Jun-Yan Zhu, Taesung Park, Phillip Isola Alexei A. Efros 发表时间：(ICCV …
YOLO
[toc] V1 文章标题：You Only Look Once:Unified, Real-Time Object Detection 作者：Joseph Redmon, Santosh Divvalay, Ross Girshick, Ali Farhadi 发表时间：(CVPR 2016) YOLO算法是单阶段 …
SSD
文章标题：SSD: Single Shot MultiBox Detector 作者：Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy 发表时间：(ECCV 2016) 论文结构 Abstract： 提出了SSD目标检测算法： 基于端对端学习的目标 …
SqueezeNet
文章标题：SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size 作者： 发表时间：(ICLR 2016) SqueezeNext 文章标题：SqueezeNext: Hardware-Aware …
ShuffleNet
V1 文章标题：Shufflenet: An extremely efficient convolutional neural network for mobile devices 作者：Xiangyu Zhang，Xinyu Zhou，Mengxiao Lin ，Jian Sun ，Megvii Inc …
Re-Parameterization
ACNet 文章标题：ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks 作者：Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han …
NAS
MnasNet 文章标题：MnasNet: Platform-Aware Neural Architecture Search for Mobile 作者：Mingxing Tan, Bo Chen, Ruoming Pang, Vijay Vasudevan, Mark Sandler, Andrew Howard, …