Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning

11 August 2022

Papers citing "Regressing Relative Fine-Grained Change for Sub-Groups in Unreliable Heterogeneous Data Through Deep Multi-Task Metric Learning"

10 / 10 papers shown

Title
Unsupervised Deep Metric Learning via Orthogonality based Probabilistic Loss U. Dutta Mehrtash Harandi C. Sekhar SSL 41 16 0 22 Aug 2020
Tackling Ordinal Regression Problem for Heterogeneous Data: Sparse and Deep Multi-Task Learning Approaches Lu Wang D. Zhu 24 9 0 29 Jul 2019
3D Instance Segmentation via Multi-Task Metric Learning Jean Lahoud Guohao Li Marc Pollefeys Martin R. Oswald ISeg 130 177 0 20 Jun 2019
A Principled Approach for Learning Task Similarity in Multitask Learning Changjian Shui Mahdieh Abbasi Louis-Émile Robitaille Boyu Wang Christian Gagné 95 58 0 21 Mar 2019
Unsupervised Data Uncertainty Learning in Visual Retrieval Systems Ahmed Taha Yi-Ting Chen Teruhisa Misu Abhinav Shrivastava L. Davis 49 17 0 07 Feb 2019
Multi-feature Distance Metric Learning for Non-rigid 3D Shape Retrieval Huibing Wang Haohao Li Xianping Fu 3DV 56 7 0 10 Jan 2019
Kernel Regression with Sparse Metric Learning Rongqing Huang Shiliang Sun 20 24 0 25 Dec 2017
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance Segmentation Weiyue Wang Ronald Yu Qiangui Huang Ulrich Neumann 3DPC 104 553 0 23 Nov 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 122 924 0 23 Jun 2017
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 821 3,302 0 24 Nov 2016