Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss

10 August 2020

Papers citing "Unsupervised Deep Metric Learning with Transformed Attention Consistency and Contrastive Clustering Loss"

32 / 32 papers shown

Title
ScaleNet: An Unsupervised Representation Learning Method for Limited Information Huili Huang M. M. Roozbahani SSL 93 804 0 03 Oct 2023
Cross-Batch Memory for Embedding Learning Xun Wang H. Zhang Weilin Huang Matthew R. Scott 126 247 0 14 Dec 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 204 12,085 0 13 Nov 2019
Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval Binghui Chen Weihong Deng VLM FedML 47 55 0 27 Jul 2019
Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning Xun Wang Xintong Han Weilin Huang Dengke Dong Matthew R. Scott 80 750 0 14 Apr 2019
Unsupervised Embedding Learning via Invariant and Spreading Instance Feature Mang Ye Xu-Yao Zhang PongChi Yuen Shih-Fu Chang SSL 97 581 0 06 Apr 2019
AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data Liheng Zhang Guo-Jun Qi Liqiang Wang Jiebo Luo 40 203 0 14 Jan 2019
Hard-Aware Point-to-Set Deep Metric for Person Re-identification Rui Yu Zhiyong Dou S. Bai Zhaoxiang Zhang Yongchao Xu X. Bai 61 139 0 30 Jul 2018
CBAM: Convolutional Block Attention Module Sanghyun Woo Jongchan Park Joon-Young Lee In So Kweon 224 16,553 0 17 Jul 2018
Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination Zhirong Wu Yuanjun Xiong Stella X. Yu Dahua Lin SSL 179 3,458 0 05 May 2018
Attention-based Ensemble for Deep Metric Learning Wonsik Kim Bhavya Goyal Kunal Chawla Jungmin Lee Keunjoo Kwon FedML 81 227 0 02 Apr 2018
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild Alexander Grabner P. Roth Vincent Lepetit 3DV 81 138 0 30 Mar 2018
Mining on Manifolds: Metric Learning without Labels Ahmet Iscen Giorgos Tolias Yannis Avrithis Ondřej Chum SSL 69 114 0 29 Mar 2018
Unsupervised Representation Learning by Predicting Image Rotations Spyros Gidaris Praveer Singh N. Komodakis OOD SSL DRL 258 3,290 0 21 Mar 2018
Triplet-Center Loss for Multi-View 3D Object Retrieval Xinwei He Yang Zhou Zhichao Zhou S. Bai X. Bai 3DPC 63 330 0 16 Mar 2018
Deep Metric Learning with BIER: Boosting Independent Embeddings Robustly M. Opitz Georg Waltner Horst Possegger Horst Bischof FedML OOD 88 166 0 15 Jan 2018
Improved Regularization of Convolutional Neural Networks with Cutout Terrance Devries Graham W. Taylor 117 3,765 0 15 Aug 2017
Sampling Matters in Deep Embedding Learning Chaoxia Wu R. Manmatha Alex Smola Philipp Krahenbuhl 100 923 0 23 Jun 2017
Smart Mining for Deep Metric Learning Ben Harwood B. V. Kumar G. Carneiro Ian Reid Tom Drummond 60 350 0 05 Apr 2017
In Defense of the Triplet Loss for Person Re-Identification Alexander Hermans Lucas Beyer Bastian Leibe DML 80 3,206 0 22 Mar 2017
No Fuss Distance Metric Learning using Proxies Yair Movshovitz-Attias Alexander Toshev Thomas Leung Sergey Ioffe Saurabh Singh 89 641 0 21 Mar 2017
Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles M. Noroozi Paolo Favaro SSL 174 2,980 0 30 Mar 2016
Deep Metric Learning via Lifted Structured Feature Embedding Hyun Oh Song Yu Xiang Stefanie Jegelka Silvio Savarese FedML SSL DML 94 1,643 0 19 Nov 2015
Spatial Transformer Networks Max Jaderberg Karen Simonyan Andrew Zisserman Koray Kavukcuoglu 302 7,387 0 05 Jun 2015
Unsupervised Visual Representation Learning by Context Prediction Carl Doersch Abhinav Gupta Alexei A. Efros DRL SSL 166 2,786 0 19 May 2015
FaceNet: A Unified Embedding for Face Recognition and Clustering Florian Schroff Dmitry Kalenichenko James Philbin 3DH 376 13,145 0 12 Mar 2015
Learning Descriptors for Object Recognition and 3D Pose Estimation Paul Wohlhart Vincent Lepetit 57 448 0 20 Feb 2015
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift Sergey Ioffe Christian Szegedy OOD 463 43,305 0 11 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 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 477 43,658 0 17 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.7K 39,547 0 01 Sep 2014
Recurrent Models of Visual Attention Volodymyr Mnih N. Heess Alex Graves Koray Kavukcuoglu VLM 155 3,656 0 24 Jun 2014