Learning Deep Embeddings with Histogram Loss

2 November 2016

Papers citing "Learning Deep Embeddings with Histogram Loss"

50 / 159 papers shown

Title
Multi-Modal Retrieval using Graph Neural Networks Aashish Kumar Misraa Ajinkya Kale Pranav Aggarwal A. Aminian GNN 16 12 0 04 Oct 2020
Diversified Mutual Learning for Deep Metric Learning Wonpyo Park Wonjae Kim Kihyun You Minsu Cho FedML 25 6 0 09 Sep 2020
Deep Metric Learning Meets Deep Clustering: An Novel Unsupervised Approach for Feature Embedding Binh X. Nguyen Binh Duc Nguyen G. Carneiro Erman Tjiputra Quang-Dieu Tran Thanh-Toan Do 22 10 0 09 Sep 2020
Understanding and Exploiting Dependent Variables with Deep Metric Learning Niall O' Mahony S. Campbell A. Carvalho L. Krpalkova G. Velasco-Hernández Daniel Riordan Joseph Walsh 14 1 0 08 Sep 2020
A Survey on Machine Learning from Few Samples Jiang Lu Pinghua Gong Jieping Ye Jianwei Zhang Changshu Zhang 14 47 0 06 Sep 2020
BioMetricNet: deep unconstrained face verification through learning of metrics regularized onto Gaussian distributions Arslan Ali Matteo Testa T. Bianchi E. Magli CVBM 11 16 0 13 Aug 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 44 163 0 23 Jul 2020
Domain Generalization via Optimal Transport with Metric Similarity Learning Fan Zhou Zhuqing Jiang Changjian Shui Boyu Wang B. Chaib-draa OOD 27 53 0 21 Jul 2020
Robust Re-Identification by Multiple Views Knowledge Distillation Angelo Porrello Luca Bergamini Simone Calderara 26 65 0 08 Jul 2020
Improving Deep Metric Learning with Virtual Classes and Examples Mining Pierre Jacob David Picard A. Histace Edouard Klein VLM 19 3 0 11 Jun 2020
CoMIR: Contrastive Multimodal Image Representation for Registration Nicolas Pielawski Elisabeth Wetzer Johan Öfverstedt Jiahao Lu Carolina Wählby Joakim Lindblad Natavsa Sladoje 6 80 0 11 Jun 2020
Global Distance-distributions Separation for Unsupervised Person Re-identification Xin Jin Cuiling Lan Wenjun Zeng Zhibo Chen OOD 16 69 0 01 Jun 2020
Unifying Few- and Zero-Shot Egocentric Action Recognition Tyler R. Scott Michael Shvartsman Karl Ridgeway EgoV 20 1 0 27 May 2020
Speaker diarization with session-level speaker embedding refinement using graph neural networks Jixuan Wang Xiong Xiao Jian Wu Ranjani Ramamurthy Frank Rudzicz M. Brudno 17 25 0 22 May 2020
AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction Alessia Bertugli Simone Calderara Pasquale Coscia Lamberto Ballan Rita Cucchiara 31 28 0 17 May 2020
DIABLO: Dictionary-based Attention Block for Deep Metric Learning Pierre Jacob David Picard A. Histace Edouard Klein 11 1 0 30 Apr 2020
Sharing Matters for Generalization in Deep Metric Learning Timo Milbich Karsten Roth Biagio Brattoli Bjorn Ommer FedML OOD 8 23 0 12 Apr 2020
Continuous Histogram Loss: Beyond Neural Similarity Artem Zholus E. Putin 11 2 0 06 Apr 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 14 156 0 02 Apr 2020
A Metric Learning Reality Check Kevin Musgrave Serge J. Belongie Ser-Nam Lim 36 475 0 18 Mar 2020
Adaptive Semantic-Visual Tree for Hierarchical Embeddings Shuo Yang Wei Yu Ying Zheng H. Yao Tao Mei 33 16 0 08 Mar 2020
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning ByungSoo Ko Geonmo Gu 85 53 0 05 Mar 2020
Circle Loss: A Unified Perspective of Pair Similarity Optimization Yifan Sun Changmao Cheng Yuhan Zhang Chi Zhang Liang Zheng Zhongdao Wang Yichen Wei 7 850 0 25 Feb 2020
Revisiting Training Strategies and Generalization Performance in Deep Metric Learning Karsten Roth Timo Milbich Samarth Sinha Prateek Gupta Bjorn Ommer Joseph Paul Cohen 19 168 0 19 Feb 2020
CoLES: Contrastive Learning for Event Sequences with Self-Supervision Dmitrii Babaev Ivan Kireev Nikita Ovsov Maria Ivanova Gleb Gusev Ivan Nazarov Alexander Tuzhilin SSL AI4TS 12 26 0 19 Feb 2020
Improving Face Recognition from Hard Samples via Distribution Distillation Loss Y. Huang Pengcheng Shen Ying Tai Shaoxin Li Xiaoming Liu Jilin Li Feiyue Huang Rongrong Ji CVBM 34 1 0 10 Feb 2020
In Defense of the Triplet Loss Again: Learning Robust Person Re-Identification with Fast Approximated Triplet Loss and Label Distillation Ye Yuan Wuyang Chen Yang Yang Zhangyang Wang 3DH 19 86 0 17 Dec 2019
Cross-Batch Memory for Embedding Learning Xun Wang H. Zhang Weilin Huang Matthew R. Scott 25 247 0 14 Dec 2019
Instance Cross Entropy for Deep Metric Learning Xinshao Wang Elyor Kodirov Yang Hua N. Robertson 19 5 0 22 Nov 2019
Ladder Loss for Coherent Visual-Semantic Embedding Mo Zhou Zhenxing Niu Le Wang Zhanning Gao Qilin Zhang G. Hua 25 39 0 18 Nov 2019
Unsupervised Deep Metric Learning via Auxiliary Rotation Loss Xuefei Cao Bor-Chun Chen Ser-Nam Lim SSL 11 19 0 16 Nov 2019
Semantic Granularity Metric Learning for Visual Search Dipu Manandhar M. Bastan Kim-Hui Yap 19 11 0 14 Nov 2019
Metric Learning for Dynamic Text Classification Jeremy Wohlwend Ethan R. Elenberg S. Altschul Shawn Henry Tao Lei 25 11 0 04 Nov 2019
Stochastic Prototype Embeddings Tyler R. Scott Karl Ridgeway Michael C. Mozer BDL UQCV 11 14 0 25 Sep 2019
MIC: Mining Interclass Characteristics for Improved Metric Learning Karsten Roth Biagio Brattoli Bjorn Ommer 14 89 0 25 Sep 2019
Deep Metric Learning with Density Adaptivity Yehao Li Ting Yao Yingwei Pan Hongyang Chao Tao Mei 22 11 0 09 Sep 2019
Adversarial Representation Learning for Text-to-Image Matching N. Sarafianos Xiang Xu I. Kakadiaris GAN 41 185 0 28 Aug 2019
Embarrassingly Simple Binary Representation Learning Yuming Shen Jie Qin Jiaxin Chen Li Liu Fan Zhu 10 21 0 26 Aug 2019
Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings Pierre Jacob David Picard A. Histace Edouard Klein DML 25 59 0 07 Aug 2019
Learning Joint Acoustic-Phonetic Word Embeddings Mohamed El-Geish DRL SSL 8 2 0 01 Aug 2019
Deep Metric Learning with Alternating Projections onto Feasible Sets Ogul Can Y. Z. Gürbüz Aydin Alatan 22 5 0 17 Jul 2019
Searching for Apparel Products from Images in the Wild Son N. Tran Ming-han Du Sampath Chanda R. Manmatha C. Taylor 17 5 0 04 Jul 2019
Multiple-Identity Image Attacks Against Face-based Identity Verification Jerone T. A. Andrews T. Tanay Lewis D. Griffin CVBM AAML 11 9 0 20 Jun 2019
Learning with Average Precision: Training Image Retrieval with a Listwise Loss Jérôme Revaud Jon Almazán Rafael Sampaio de Rezende César Roberto de Souza VLM 22 367 0 18 Jun 2019
R2D2: Repeatable and Reliable Detector and Descriptor Jérôme Revaud Philippe Weinzaepfel César Roberto de Souza Noé Pion G. Csurka Yohann Cabon Martin Humenberger 25 472 0 14 Jun 2019
Divide and Conquer the Embedding Space for Metric Learning A. Sanakoyeu Vadim Tschernezki U. Büchler Bjorn Ommer SSL 21 107 0 14 Jun 2019
Efficient Codebook and Factorization for Second Order Representation Learning Pierre Jacob David Picard A. Histace Edouard Klein 14 1 0 05 Jun 2019
Discriminative structural graph classification Younjoo Seo Andreas Loukas Nathanael Perraudin 22 19 0 31 May 2019
How is Gaze Influenced by Image Transformations? Dataset and Model Zhaohui Che Ali Borji Guangtao Zhai Xiongkuo Min G. Guo P. Le Callet 24 76 0 16 May 2019
Deep Metric Learning Beyond Binary Supervision Sungyeon Kim Minkyo Seo Ivan Laptev Minsu Cho Suha Kwak SSL 15 94 0 21 Apr 2019