Deep Randomized Ensembles for Metric Learning

13 August 2018

Papers citing "Deep Randomized Ensembles for Metric Learning"

10 / 10 papers shown

Title
Deep Metric Learning with Chance Constraints Y. Z. Gürbüz Ogul Can Aydin Alatan 19 2 0 19 Sep 2022
Improving Deep Metric Learning by Divide and Conquer A. Sanakoyeu Pingchuan Ma Vadim Tschernezki Bjorn Ommer 24 14 0 09 Sep 2021
Informative and Representative Triplet Selection for Multilabel Remote Sensing Image Retrieval Gencer Sumbul Mahdyar Ravanbakhsh Begum Demir 14 23 0 08 May 2021
Deep Learning for Instance Retrieval: A Survey Wei-Neng Chen Yu Liu Weiping Wang E. Bakker Theodoros Georgiou Paul Fieguth Li Liu M. Lew VLM 11 144 0 27 Jan 2021
Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping Xinyi Xu Zhangyang Wang Cheng Deng Hao Yuan Shuiwang Ji FedML 19 14 0 17 Nov 2020
Incomplete Descriptor Mining with Elastic Loss for Person Re-Identification Hongchen Tan Yuhao Bian Huasheng Wang Xiuping Liu Baocai Yin 22 70 0 10 Aug 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 41 163 0 23 Jul 2020
Adaptive Semantic-Visual Tree for Hierarchical Embeddings Shuo Yang Wei Yu Ying Zheng H. Yao Tao Mei 33 16 0 08 Mar 2020
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Pierre Jacob David Picard A. Histace Edouard Klein DML 22 59 0 07 Aug 2019
Improved Embeddings with Easy Positive Triplet Mining Hong Xuan Abby Stylianou Robert Pless 25 131 0 08 Apr 2019