Unsupervised Visual Representation Learning by Context Prediction

19 May 2015

Papers citing "Unsupervised Visual Representation Learning by Context Prediction"

50 / 749 papers shown

Title
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal Xiang Wang Shiwei Zhang Zhiwu Qing Yuanjie Shao Changxin Gao Nong Sang 33 68 0 07 Apr 2021
Jigsaw Clustering for Unsupervised Visual Representation Learning Pengguang Chen Shu Liu Jiaya Jia SSL VLM 30 53 0 01 Apr 2021
Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective Jiarui Xu Xiaolong Wang VOS 40 92 0 31 Mar 2021
Broaden Your Views for Self-Supervised Video Learning Adrià Recasens Pauline Luc Jean-Baptiste Alayrac Luyu Wang Ross Hemsley ... Florent Altché M. Valko Jean-Bastien Grill Aaron van den Oord Andrew Zisserman SSL AI4TS 35 127 0 30 Mar 2021
Benchmarking Representation Learning for Natural World Image Collections Grant Van Horn Elijah Cole Sara Beery Kimberly Wilber Serge J. Belongie Oisin Mac Aodha SSL VLM 26 165 0 30 Mar 2021
PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in Clustering Jang Hyun Cho Utkarsh Mall Kavita Bala B. Hariharan 31 192 0 30 Mar 2021
Robust Audio-Visual Instance Discrimination Pedro Morgado Ishan Misra Nuno Vasconcelos SSL 22 110 0 29 Mar 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines Klemen Kotar Gabriel Ilharco Ludwig Schmidt Kiana Ehsani Roozbeh Mottaghi SSL 43 46 0 25 Mar 2021
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting A. Bhunia Pinaki Nath Chowdhury Yongxin Yang Timothy M. Hospedales Tao Xiang Yi-Zhe Song SSL 22 59 0 25 Mar 2021
A Broad Study on the Transferability of Visual Representations with Contrastive Learning Ashraful Islam Chun-Fu Chen Yikang Shen Leonid Karlinsky Richard J. Radke Rogerio Feris SSL 29 112 0 24 Mar 2021
Supporting Clustering with Contrastive Learning Dejiao Zhang Feng Nan Xiaokai Wei Shang-Wen Li Henghui Zhu Kathleen McKeown Ramesh Nallapati Andrew O. Arnold Bing Xiang SSL 43 197 0 24 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining Colorado Reed Xiangyu Yue Aniruddha Nrusimha Sayna Ebrahimi Vivek Vijaykumar ... Shanghang Zhang Devin Guillory Sean L. Metzger Kurt Keutzer Trevor Darrell 30 105 0 23 Mar 2021
Unsupervised Two-Stage Anomaly Detection Yunfei Liu Chaoqun Zhuang Feng Lu 39 29 0 22 Mar 2021
Efficient Visual Pretraining with Contrastive Detection Olivier J. Hénaff Skanda Koppula Jean-Baptiste Alayrac Aaron van den Oord Oriol Vinyals João Carreira VLM SSL 38 162 0 19 Mar 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning Mandela Patrick Yuki M. Asano Bernie Huang Ishan Misra Florian Metze Joao Henriques Andrea Vedaldi AI4TS 31 33 0 18 Mar 2021
Self-Supervised Learning of Audio Representations from Permutations with Differentiable Ranking Andrew N. Carr Quentin Berthet Mathieu Blondel O. Teboul Neil Zeghidour SSL 29 24 0 17 Mar 2021
Training GANs with Stronger Augmentations via Contrastive Discriminator Jongheon Jeong Jinwoo Shin 30 65 0 17 Mar 2021
Contrastive Learning of Musical Representations Janne Spijkervet J. Burgoyne 41 111 0 17 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision Hainan Li Renshuai Tao Jun Li Haotong Qin Yifu Ding Shuo Wang Xianglong Liu SSL 27 8 0 10 Mar 2021
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors Jian Ding Enze Xie Hang Xu Chenhan Jiang Zhenguo Li Ping Luo Guisong Xia 28 16 0 08 Mar 2021
Repurposing GANs for One-shot Semantic Part Segmentation Nontawat Tritrong Pitchaporn Rewatbowornwong Supasorn Suwajanakorn 46 108 0 07 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning Mamshad Nayeem Rizve Salman Khan Fahad Shahbaz Khan M. Shah 41 109 0 01 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations Xiang Gao Wei Hu Guo-Jun Qi 37 6 0 01 Mar 2021
Self-Supervised Learning of Graph Neural Networks: A Unified Review Yaochen Xie Zhao Xu Jingtun Zhang Zhengyang Wang Shuiwang Ji SSL 41 326 0 22 Feb 2021
Mine Your Own vieW: Self-Supervised Learning Through Across-Sample Prediction Mehdi Azabou M. G. Azar Ran Liu Chi-Heng Lin Erik C. Johnson ... Lindsey Kitchell Keith B. Hengen William R. Gray Roncal Michal Valko Eva L. Dyer AI4TS 39 56 0 19 Feb 2021
Improving speech recognition models with small samples for air traffic control systems Yi Lin Qin Li Bo Yang Zhen Yan Huachun Tan Zhengmao Chen 42 32 0 16 Feb 2021
Self-Supervised Multisensor Change Detection Sudipan Saha Patrick Ebel Xiaoxiang Zhu SSL 29 80 0 12 Feb 2021
Proof Artifact Co-training for Theorem Proving with Language Models Jesse Michael Han Jason M. Rute Yuhuai Wu Edward W. Ayers Stanislas Polu AIMat 30 121 0 11 Feb 2021
Open-World Semi-Supervised Learning Kaidi Cao Maria Brbic J. Leskovec BDL 30 178 0 06 Feb 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks N. Simard Guillaume Lagrange SSL 21 5 0 24 Jan 2021
Pre-training without Natural Images Hirokatsu Kataoka Kazushige Okayasu Asato Matsumoto Eisuke Yamagata Ryosuke Yamada Nakamasa Inoue Akio Nakamura Y. Satoh 81 117 0 21 Jan 2021
Self-supervised pre-training enhances change detection in Sentinel-2 imagery Marrit Leenstra Diego Marcos F. Bovolo D. Tuia SSL 82 42 0 20 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning Zeming Li Songtao Liu Jian Sun 51 16 0 19 Jan 2021
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning Byoungjip Kim Jinho Choo Yeong-Dae Kwon Seongho Joe Seungjai Min Youngjune Gwon SSL 38 52 0 16 Jan 2021
In Defense of Pseudo-Labeling: An Uncertainty-Aware Pseudo-label Selection Framework for Semi-Supervised Learning Mamshad Nayeem Rizve Kevin Duarte Yogesh S Rawat M. Shah 247 510 0 15 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification Shekoofeh Azizi Basil Mustafa Fiona Ryan Zach Beaver Jan Freyberg ... Alan Karthikesalingam Simon Kornblith Ting-Li Chen Vivek Natarajan Mohammad Norouzi SSL 50 508 0 13 Jan 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 137 267 0 07 Jan 2021
Learning the Predictability of the Future Dídac Surís Ruoshi Liu Carl Vondrick 24 71 0 01 Jan 2021
Making transport more robust and interpretable by moving data through a small number of anchor points Chi-Heng Lin Mehdi Azabou Eva L. Dyer OT OOD 44 22 0 21 Dec 2020
Addressing Feature Suppression in Unsupervised Visual Representations Tianhong Li Lijie Fan Yuan. Yuan Hao He Yonglong Tian Rogerio Feris Piotr Indyk Dina Katabi SSL 38 15 0 17 Dec 2020
Understanding the Behaviour of Contrastive Loss Feng Wang Huaping Liu SSL 61 670 0 15 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer Jian Liang Dapeng Hu Yunbo Wang Ran He Jiashi Feng 151 250 0 14 Dec 2020
Information-Theoretic Segmentation by Inpainting Error Maximization Pedro H. P. Savarese Sunnie S. Y. Kim Michael Maire G. Shakhnarovich David A. McAllester 49 29 0 14 Dec 2020
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation Kun Zhang Rui Wu Ping Yao Kai Deng Ding Li Renbiao Liu Chuanguang Yang Ge Chen Min Du Tianyao Zheng 3DH 18 1 0 13 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models Tianlong Chen Jonathan Frankle Shiyu Chang Sijia Liu Yang Zhang Michael Carbin Zhangyang Wang 27 123 0 12 Dec 2020
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images Li Sun Ke Yu Kayhan Batmanghelich SSL 34 23 0 11 Dec 2020
Contrastive Predictive Coding for Human Activity Recognition H. Haresamudram Irfan Essa Thomas Ploetz 37 118 0 09 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations Ramprasaath R. Selvaraju Karan Desai Justin Johnson Nikhil Naik SSL 36 79 0 08 Dec 2020
Seed the Views: Hierarchical Semantic Alignment for Contrastive Representation Learning Haohang Xu Xiaopeng Zhang Hao Li Lingxi Xie H. Xiong Qi Tian SSL 16 12 0 04 Dec 2020
Deep Learning for Medical Anomaly Detection -- A Survey Tharindu Fernando Harshala Gammulle Simon Denman Sridha Sridharan Clinton Fookes OOD 22 271 0 04 Dec 2020