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We propose a new convolution called Dynamic Region-Aware Convolution (DRConv), which can automatically assign multiple filters to corresponding spatial regions where features have similar representation.
Visual attention
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Imagenet large scale visual recognition challenge
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The megaface benchmark: 1 million faces for recognition at scale
Ira Kemelmacher-Shlizerman, Steven M Seitz, Daniel Miller, and Evan Brossard · 2016
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Sca-cnn: Spatial and channel-wise attention in convolutional networks for image captioning
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Deformable convolutional networks
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Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
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Active convolution: Learning the shape of convolution for image classification
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Feature pyramid networks for object detection
Beyond part models: Person retrieval with refined part pooling (and a strong convolutional baseline)
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Additive margin softmax for face verification
Feng Wang, Jian Cheng, Weiyang Liu, and Haijun Liu · 2018
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Non-local neural networks
Xiaolong Wang, Ross Girshick, Abhinav Gupta, and Kaiming He · 2018
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Cbam: Convolutional block attention module
Sanghyun Woo, Jongchan Park, Joon-Young Lee, and In So Kweon · 2018
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Detnas: Backbone search for object detection
Yukang Chen, Tong Yang, Xiangyu Zhang, GAOFENG MENG, Xinyu Xiao, and Jian Sun · 2019
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Arcface: Additive angular margin loss for deep face recognition
Jiankang Deng, Jia Guo, Niannan Xue, and Stefanos Zafeiriou · 2019
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
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Dilated residual networks
Fisher Yu, Vladlen Koltun, and Thomas Funkhouser · 2017
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Sheng Chen, Yang Liu, Xiang Gao, and Zhen Han · 2018
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Dhruv Mahajan, Ross Girshick, Vignesh Ramanathan, Kaiming He, Manohar Paluri, Yixuan Li, Ashwin Bharambe, and Laurens van der Maaten · 2018
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Deformable kernels: Adapting effective receptive fields for object deformation
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Local relation networks for image recognition
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Ccnet: Criss-cross attention for semantic segmentation
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Selective kernel networks
Xiang Li, Wenhai Wang, Xiaolin Hu, and Jian Yang · 2019
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Condconv: Conditionally parameterized convolutions for efficient inference
Brandon Yang, Gabriel Bender, Quoc V Le, and Jiquan Ngiam · 2019
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Squeeze-and-attention networks for semantic segmentation
Zilong Zhong, Zhong Qiu Lin, Rene Bidart, Xiaodan Hu, Ibrahim Ben Daya, Jonathan Li, and Alexander Wong · 2019
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