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Attention mechanisms, which enable a neural network to accurately focus on all the relevant elements of the input, have become an essential component to improve the performance of deep neural networks.
“Imagenet classification with deep convolutional neural networks,”
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton, · 2012
Earlier work this paper cites.
“Faster R-CNN: towards real-time object detection with region proposal networks,”
Shaoqing Ren, Kaiming He, Ross B. Girshick, and Jian Sun, · 2015
Earlier work this paper cites.
“Rethinking the inception architecture for computer vision,”
Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jonathon Shlens, and Zbigniew Wojna, · 2016
Earlier work this paper cites.
“Deep residual learning for image recognition,”
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun, · 2016
Earlier work this paper cites.
“Inception-v4, inception-resnet and the impact of residual connections on learning,”
Christian Szegedy, Sergey Ioffe, Vincent Vanhoucke, and Alexander A. Alemi, · 2017
Earlier work this paper cites.
“Dynamic routing between capsules,”
Sara Sabour, Nicholas Frosst, and Geoffrey E. Hinton, · 2017
Earlier work this paper cites.
“Grad-cam: Visual explanations from deep networks via gradient-based localization,”
Ramprasaath R. Selvaraju, Michael Cogswell, Abhishek Das, Ramakrishna Vedantam, Devi Parikh, and Dhruv Batra, · 2017
Earlier work this paper cites.
“Accurate, large minibatch SGD: training imagenet in 1 hour,”
Priya Goyal, Piotr Dollár, Ross B. Girshick, Pieter Noordhuis, Lukasz Wesolowski, Aapo Kyrola, Andrew Tulloch, Yangqing Jia, and Kaiming He, · 2017
Earlier work this paper cites.
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross B. Girshick, · 2017
Earlier work this paper cites.
“Ocnet: Object context network for scene parsing,”
Yuhui Yuan and Jingdong Wang, · 2018
Earlier work this paper cites.
“Psanet: Point-wise spatial attention network for scene parsing,”
Hengshuang Zhao, Yi Zhang, Shu Liu, Jianping Shi, Chen Change Loy, Dahua Lin, and Jiaya Jia, · 2018
Cited alongside, same era.
“Ccnet: Criss-cross attention for semantic segmentation,”
Zilong Huang, Xinggang Wang, Lichao Huang, Chang Huang, Yunchao Wei, and Wenyu Liu, · 2018
Cited alongside, same era.
“CBAM: convolutional block attention module,”
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon, · 2018
Cited alongside, same era.
“Shufflenet V2: practical guidelines for efficient CNN architecture design,”
Ningning Ma, Xiangyu Zhang, Hai-Tao Zheng, and Jian Sun, · 2018
Cited alongside, same era.
“Shufflenet: An extremely efficient convolutional neural network for mobile devices,”
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin, and Jian Sun, · 2018
Cited alongside, same era.
“Gcnet: Non-local networks meet squeeze-excitation networks and beyond,”
Yue Cao, Jiarui Xu, Stephen Lin, Fangyun Wei, and Han Hu, · 2019
Later among the works it cites.
“Selective kernel networks,”
Xiang Li, Wenhai Wang, Xiaolin Hu, and Jian Yang, · 2019
Later among the works it cites.
“Dual attention network for scene segmentation,”
Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, and Hanqing Lu, · 2019
Later among the works it cites.
“SRM : A style-based recalibration module for convolutional neural networks,”
HyunJae Lee, Hyo-Eun Kim, and Hyeonseob Nam, · 2019
Later among the works it cites.
“Expectation-maximization attention networks for semantic segmentation,”
Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, and Hong Liu, · 2019
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“Mobilenetv2: Inverted residuals and linear bottlenecks,”
Mark Sandler, Andrew G. Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen, · 2018
Cited alongside, same era.
“Matrix capsules with EM routing,”
Geoffrey E. Hinton, Sara Sabour, and Nicholas Frosst, · 2018
Cited alongside, same era.
“Squeeze-and-excitation networks,”
Jie Hu, Li Shen, and Gang Sun, · 2018
Cited alongside, same era.
“Non-local neural networks,”
Xiaolong Wang, Ross B. Girshick, Abhinav Gupta, and Kaiming He, · 2018
Cited alongside, same era.
“Group normalization,”
Yuxin Wu and Kaiming He, · 2018
Cited alongside, same era.
“Asymmetric non-local neural networks for semantic segmentation,”
Zhen Zhu, Mengde Xu, Song Bai, Tengteng Huang, and Xiang Bai, · 2019
Later among the works it cites.
“Spatial group-wise enhance: Improving semantic feature learning in convolutional networks,”
Xiang Li, Xiaolin Hu, and Jian Yang, · 2019
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“Searching for mobilenetv3,”
Andrew Howard, Ruoming Pang, Hartwig Adam, Quoc V. Le, Mark Sandler, Bo Chen, Weijun Wang, Liang-Chieh Chen, Mingxing Tan, Grace Chu, Vijay Vasudevan, and Yukun Zhu, · 2019
Later among the works it cites.
“Eca-net: Efficient channel attention for deep convolutional neural networks,”
Qilong Wang, Banggu Wu, Pengfei Zhu, Peihua Li, Wangmeng Zuo, and Qinghua Hu, · 2020
Later among the works it cites.