Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition

Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition

21 March 2019

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Papers citing "Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition"

17 / 17 papers shown

Title
GIFT: A Real-time and Scalable 3D Shape Search Engine S. Bai X. Bai Zhichao Zhou Zhaoxiang Zhang Longin Jan Latecki 49 281 0 07 Apr 2016
Fine-grained Categorization and Dataset Bootstrapping using Deep Metric Learning with Humans in the Loop Huayu Chen Feng Zhou Yuanqing Lin Serge J. Belongie 90 236 0 16 Dec 2015
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.3K 194,641 0 10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 100 1,646 0 19 Nov 2015
Learning with a Wasserstein Loss Charlie Frogner Chiyuan Zhang H. Mobahi Mauricio Araya-Polo T. Poggio 83 602 0 17 Jun 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition Hang Su Subhransu Maji E. Kalogerakis Erik Learned-Miller 3DV 173 3,223 0 05 May 2015
Sketch-based 3D Shape Retrieval using Convolutional Neural Networks Fang Wang Le Kang Yi Li 3DV 3DPC 63 361 0 14 Apr 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 393 13,172 0 12 Mar 2015
Deep metric learning using Triplet network Elad Hoffer Nir Ailon SSL DML 215 2,000 0 20 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 496 43,717 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 1.7K 100,575 0 04 Sep 2014
Learning Fine-grained Image Similarity with Deep Ranking Jiang Wang Yang Song Thomas Leung C. Rosenberg Jingbin Wang James Philbin Bo Chen Ying Nian Wu SSL 120 1,318 0 17 Apr 2014
Rich feature hierarchies for accurate object detection and semantic segmentation Ross B. Girshick Jeff Donahue Trevor Darrell Jitendra Malik ObjD 301 26,223 0 11 Nov 2013
Fast Computation of Wasserstein Barycenters Marco Cuturi Arnaud Doucet OT 126 743 0 16 Oct 2013
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Jeff Donahue Yangqing Jia Oriol Vinyals Judy Hoffman Ning Zhang Eric Tzeng Trevor Darrell VLM ObjD 195 4,954 0 06 Oct 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances Marco Cuturi OT 222 4,294 0 04 Jun 2013
Ground Metric Learning Marco Cuturi D. Avis 102 107 0 11 Oct 2011