Rethinking Loss Design for Large-scale 3D Shape Retrieval

Rethinking Loss Design for Large-scale 3D Shape Retrieval

3 June 2019

ArXiv (abs)PDF HTML

Papers citing "Rethinking Loss Design for Large-scale 3D Shape Retrieval"

14 / 14 papers shown

Title
Angular Triplet-Center Loss for Multi-view 3D Shape Retrieval Zhaoqun Li Cheng Xu B. Leng DML 3DPC 70 50 0 21 Nov 2018
Triplet-Center Loss for Multi-View 3D Object Retrieval Xinwei He Yang Zhou Zhichao Zhou S. Bai X. Bai 3DPC 63 330 0 16 Mar 2018
Rethinking Feature Discrimination and Polymerization for Large-scale Recognition Yu Liu Hongyang Li Xiaogang Wang CVBM 80 117 0 02 Oct 2017
Learning Local Shape Descriptors from Part Correspondences With Multi-view Convolutional Networks Haibin Huang E. Kalogerakis S. Chaudhuri Duygu Ceylan Vladimir G. Kim Ersin Yumer 3DPC 68 134 0 14 Jun 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 354 11,139 0 07 Jun 2017
Escape from Cells: Deep Kd-Networks for the Recognition of 3D Point Cloud Models Roman Klokov Victor Lempitsky 3DV 74 983 0 04 Apr 2017
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition Edward Johns Stefan Leutenegger Andrew J. Davison 56 227 0 26 May 2016
GIFT: A Real-time and Scalable 3D Shape Search Engine S. Bai X. Bai Zhichao Zhou Zhaoxiang Zhang Longin Jan Latecki 39 281 0 07 Apr 2016
ShapeNet: An Information-Rich 3D Model Repository Angel X. Chang Thomas Funkhouser Leonidas Guibas Pat Hanrahan Qi-Xing Huang ... Shuran Song Hao Su Jianxiong Xiao L. Yi Feng Yu 3DV 162 5,535 0 09 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 94 1,643 0 19 Nov 2015
Multi-view Convolutional Neural Networks for 3D Shape Recognition Hang Su Subhransu Maji E. Kalogerakis Erik Learned-Miller 3DV 160 3,220 0 05 May 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 386 13,145 0 12 Mar 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,328 0 11 Feb 2015
Return of the Devil in the Details: Delving Deep into Convolutional Nets Ken Chatfield Karen Simonyan Andrea Vedaldi Andrew Zisserman FAtt 221 3,418 0 14 May 2014

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.