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The Huber loss is a robust loss function used for a wide range of regression tasks.
Robust estimation of a location parameter
Peter J. Huber · 1964
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Convergence of EM image reconstruction algorithms with Gibbs smoothing
Kenneth Lange · 1990
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Microsoft COCO: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Robust forward algorithms via PAC-Bayes and Laplace distributions
Asaf Noy and Koby Crammer · 2014
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Fast R-CNN
Ross Girshick · 2015
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Faster R-CNN
Ross Girshick · 2015
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Faster R-CNN: Towards real-time object detection with region proposal networks
Shaoqing Ren, Kaiming He, Ross Girshick, and Jian Sun · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Monocular 3D object detection for autonomous driving
Xiaozhi Chen, Kaustav Kundu, Ziyu Zhang, Huimin Ma, Sanja Fidler, and Raquel Urtasun · 2016
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Focal loss for dense object detection
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Pyramid stereo matching network
Jia-Ren Chang and Yong-Sheng Chen · 2018
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Joint 3D proposal generation and object detection from view aggregation
Jason Ku, Melissa Mozifian, Jungwook Lee, Ali Harakeh, and Steven L. Waslander · 2018
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Region ensemble network: Towards good practices for deep 3D hand pose estimation
Guijin Wang, Xinghao Chen, Hengkai Guo, and Cairong Zhang · 2018
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PIXOR: Real-time 3D object detection from point clouds
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Monocular 3D object detection leveraging accurate proposals and shape reconstruction
Jason Ku, Alex D Pon, and Steven L Waslander · 2019
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