Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping

17 November 2020

Papers citing "Towards Improved and Interpretable Deep Metric Learning via Attentive Grouping"

26 / 26 papers shown

Title
MIXRTs: Toward Interpretable Multi-Agent Reinforcement Learning via Mixing Recurrent Soft Decision Trees Zichuan Liu Zichuan Liu Zhi Wang Yuanyang Zhu Chunlin Chen 133 6 0 15 Sep 2022
Kronecker Attention Networks Hongyang Gao Zhengyang Wang Shuiwang Ji 26 33 0 16 Jul 2020
DiVA: Diverse Visual Feature Aggregation for Deep Metric Learning Timo Milbich Karsten Roth Homanga Bharadhwaj Samarth Sinha Yoshua Bengio Bjorn Ommer Joseph Paul Cohen 85 66 0 28 Apr 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 120 475 0 18 Mar 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth Timo Milbich Samarth Sinha Prateek Gupta Bjorn Ommer Joseph Paul Cohen 45 170 0 19 Feb 2020
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval Binghui Chen Weihong Deng VLM FedML 42 55 0 27 Jul 2019
Divide and Conquer the Embedding Space for Metric Learning A. Sanakoyeu Vadim Tschernezki U. Büchler Bjorn Ommer SSL 57 107 0 14 Jun 2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning Xun Wang Xintong Han Weilin Huang Dengke Dong Matthew R. Scott 44 742 0 14 Apr 2019
Hardness-Aware Deep Metric Learning Wenzhao Zheng Zhaodong Chen Jiwen Lu Jie Zhou 34 172 0 13 Mar 2019
Deep Randomized Ensembles for Metric Learning Hong Xuan Richard Souvenir Robert Pless UQCV OOD 59 102 0 13 Aug 2018
Free-Form Image Inpainting with Gated Convolution Jiahui Yu Zhe Lin Jimei Yang Xiaohui Shen Xin Lu Thomas Huang DRL 43 1,707 0 10 Jun 2018
Attention-based Ensemble for Deep Metric Learning Wonsik Kim Bhavya Goyal Kunal Chawla Jungmin Lee Keunjoo Kwon FedML 60 226 0 02 Apr 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly M. Opitz Georg Waltner Horst Possegger Horst Bischof FedML OOD 62 166 0 15 Jan 2018
Non-local Neural Networks Xinyu Wang Ross B. Girshick Abhinav Gupta Kaiming He OffRL 196 8,867 0 21 Nov 2017
Squeeze-and-Excitation Networks Jie Hu Li Shen Samuel Albanie Gang Sun Enhua Wu 319 26,241 0 05 Sep 2017
Deep Metric Learning with Angular Loss Jian Wang Feng Zhou Shilei Wen Xiao-Chang Liu Yuanqing Lin DML 53 503 0 04 Aug 2017
Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering Peter Anderson Xiaodong He Chris Buehler Damien Teney Mark Johnson Stephen Gould Lei Zhang AIMat 100 4,201 0 25 Jul 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 82 921 0 23 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 427 129,831 0 12 Jun 2017
Hard-Aware Deeply Cascaded Embedding Yuhui Yuan Kuiyuan Yang Chao Zhang 71 301 0 17 Nov 2016
Learning Deep Embeddings with Histogram Loss E. Ustinova Victor Lempitsky 81 350 0 02 Nov 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.3K 192,638 0 10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 70 1,641 0 19 Nov 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 266 13,079 0 12 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 736 149,474 0 22 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 289 43,511 0 17 Sep 2014