v1v2v3 (latest)

No Fuss Distance Metric Learning using Proxies

21 March 2017

Yair Movshovitz-Attias

Sergey Ioffe

Papers citing "No Fuss Distance Metric Learning using Proxies"

50 / 326 papers shown

Title
Grafit: Learning fine-grained image representations with coarse labels Hugo Touvron Alexandre Sablayrolles Matthijs Douze Matthieu Cord Hervé Jégou SSL 91 68 0 25 Nov 2020
SLADE: A Self-Training Framework For Distance Metric Learning Jiali Duan Yen-Liang Lin Son N. Tran Larry S. Davis C.-C. Jay Kuo 64 11 0 20 Nov 2020
Using Text to Teach Image Retrieval Haoyu Dong Ze Wang Qiang Qiu Guillermo Sapiro 3DV 70 4 0 19 Nov 2020
Masked Proxy Loss For Text-Independent Speaker Verification Jiachen Lian A. V. Kumar Hira Dhamyal Bhiksha Raj Rita Singh 54 2 0 09 Nov 2020
Deep Metric Learning with Spherical Embedding Dingyi Zhang Yingming Li Zhongfei Zhang DML 92 41 0 05 Nov 2020
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning Simon Ging Mohammadreza Zolfaghari Hamed Pirsiavash Thomas Brox ViT CLIP 77 174 0 01 Nov 2020
Fewer is More: A Deep Graph Metric Learning Perspective Using Fewer Proxies Yuehua Zhu Muli Yang Cheng Deng Wei Liu 98 56 0 26 Oct 2020
i-Mix: A Domain-Agnostic Strategy for Contrastive Representation Learning Kibok Lee Yian Zhu Kihyuk Sohn Chun-Liang Li Jinwoo Shin Honglak Lee SSL 86 26 0 17 Oct 2020
Less is more: Faster and better music version identification with embedding distillation Furkan Yesiler Joan Serrà E. Gómez 29 11 0 07 Oct 2020
Semantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification Chih-Ting Liu Yu-Jhe Li Shao-Yi Chien Y. Wang 23 3 0 02 Oct 2020
Acceleration of Large Margin Metric Learning for Nearest Neighbor Classification Using Triplet Mining and Stratified Sampling Parisa Abdolrahim Poorheravi Benyamin Ghojogh Vincent C. Gaudet Fakhri Karray Mark Crowley 20 5 0 29 Sep 2020
Stochastic Neighbor Embedding with Gaussian and Student-t Distributions: Tutorial and Survey Benyamin Ghojogh A. Ghodsi Fakhri Karray Mark Crowley BDL 45 9 0 22 Sep 2020
S2SD: Simultaneous Similarity-based Self-Distillation for Deep Metric Learning Karsten Roth Timo Milbich Bjorn Ommer Joseph Paul Cohen Marzyeh Ghassemi FedML 129 17 0 17 Sep 2020
Diversified Mutual Learning for Deep Metric Learning Wonpyo Park Wonjae Kim Kihyun You Minsu Cho FedML 71 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 74 10 0 09 Sep 2020
Learning to Learn in a Semi-Supervised Fashion Yun-Chun Chen Chao-Te Chou Y. Wang SSL 94 6 0 25 Aug 2020
Bias-Awareness for Zero-Shot Learning the Seen and Unseen William Thong Cees G. M. Snoek 51 5 0 25 Aug 2020
Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss Yongqian Li Shichao Kan Zhihai He SSL 57 24 0 10 Aug 2020
Metric Learning vs Classification for Disentangled Music Representation Learning Jongpil Lee Nicholas J. Bryan Justin Salamon Zeyu Jin Juhan Nam DML DRL 43 32 0 09 Aug 2020
Deep Hashing with Hash-Consistent Large Margin Proxy Embeddings Pedro Morgado Yunsheng Li José Costa Pereira M. Saberian Nuno Vasconcelos 24 6 0 27 Jul 2020
Reconstruction Regularized Deep Metric Learning for Multi-label Image Classification Changsheng Li Chongjin Liu Lixin Duan Peng Gao Kai Zheng 57 37 0 27 Jul 2020
Hard negative examples are hard, but useful Hong Xuan Abby Stylianou Xiaotong Liu Robert Pless DML 102 129 0 24 Jul 2020
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval A. Brown Weidi Xie Vicky Kalogeiton Andrew Zisserman 123 165 0 23 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 117 3 0 17 Jul 2020
Universal Model for Multi-Domain Medical Image Retrieval Yang Feng Yubao Liu Jiebo Luo 20 2 0 14 Jul 2020
Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating Theorem Milad Sikaroudi Benyamin Ghojogh Fakhri Karray Mark Crowley H. R. Tizhoosh 15 3 0 10 Jul 2020
Offline versus Online Triplet Mining based on Extreme Distances of Histopathology Patches Milad Sikaroudi Benyamin Ghojogh Amir Safarpoor Fakhri Karray Mark Crowley H. R. Tizhoosh 41 17 0 04 Jul 2020
Adaptive additive classification-based loss for deep metric learning István Fehérvári Ives Macêdo 63 0 0 25 Jun 2020
Insights from the Future for Continual Learning Arthur Douillard Eduardo Valle Charles Ollion Thomas Robert Matthieu Cord VLM CLL 74 11 0 24 Jun 2020
ContraGAN: Contrastive Learning for Conditional Image Generation Minguk Kang Jaesik Park GAN 63 2 0 23 Jun 2020
Achieving Better Kinship Recognition Through Better Baseline A. Shadrikov CVBM OOD 46 20 0 21 Jun 2020
Exploiting Contextual Information with Deep Neural Networks Ismail Elezi 50 3 0 21 Jun 2020
Compositional Learning of Image-Text Query for Image Retrieval Muhammad Umer Anwaar Egor Labintcev M. Kleinsteuber CoGe 109 96 0 19 Jun 2020
Improving Deep Metric Learning with Virtual Classes and Examples Mining Pierre Jacob David Picard A. Histace Edouard Klein VLM 44 3 0 11 Jun 2020
Rethinking preventing class-collapsing in metric learning with margin-based losses Elad Levi Tete Xiao Xiaolong Wang Trevor Darrell 38 14 0 09 Jun 2020
Smooth Proxy-Anchor Loss for Noisy Metric Learning Carlos Roig David Varas Issey Masuda J. C. Riveiro Elisenda Bou NoLa 31 3 0 09 Jun 2020
Calibrated neighborhood aware confidence measure for deep metric learning Maryna Karpusha Sunghee Yun István Fehérvári UQCV FedML 121 2 0 08 Jun 2020
CIAGAN: Conditional Identity Anonymization Generative Adversarial Networks Maxim Maximov Ismail Elezi Laura Leal-Taixé PICV GAN 154 170 0 19 May 2020
DIABLO: Dictionary-based Attention Block for Deep Metric Learning Pierre Jacob David Picard A. Histace Edouard Klein 18 1 0 30 Apr 2020
PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning Arthur Douillard Matthieu Cord Charles Ollion Thomas Robert Eduardo Valle CLL 59 6 0 28 Apr 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 130 67 0 28 Apr 2020
Dynamic Sampling for Deep Metric Learning Chang-Hui Liang Wanlei Zhao Run-Qing Chen 25 4 0 24 Apr 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification Wei-wei Zhu Haofu Liao Wenbin Li Weijian Li Jiebo Luo 86 17 0 21 Apr 2020
Minimizing FLOPs to Learn Efficient Sparse Representations Biswajit Paria Chih-Kuan Yeh Ian En-Hsu Yen N. Xu Pradeep Ravikumar Barnabás Póczós 82 69 0 12 Apr 2020
Sharing Matters for Generalization in Deep Metric Learning Timo Milbich Karsten Roth Biagio Brattoli Bjorn Ommer FedML OOD 75 23 0 12 Apr 2020
ProxyNCA++: Revisiting and Revitalizing Proxy Neighborhood Component Analysis Eu Wern Teh Terrance Devries Graham W. Taylor 83 159 0 02 Apr 2020
Proxy Anchor Loss for Deep Metric Learning Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak 85 360 0 31 Mar 2020
Exploit Clues from Views: Self-Supervised and Regularized Learning for Multiview Object Recognition Chih-Hui Ho Bo Liu Tz-Ying Wu Nuno Vasconcelos 78 8 0 28 Mar 2020
PADS: Policy-Adapted Sampling for Visual Similarity Learning Karsten Roth Timo Milbich Bjorn Ommer 132 49 0 24 Mar 2020
A unifying mutual information view of metric learning: cross-entropy vs. pairwise losses Malik Boudiaf Jérôme Rony Imtiaz Masud Ziko Eric Granger M. Pedersoli Pablo Piantanida Ismail Ben Ayed SSL 109 160 0 19 Mar 2020