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1505.00687
Cited By
Unsupervised Learning of Visual Representations using Videos
4 May 2015
Xueliang Wang
Abhinav Gupta
SSL
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Papers citing
"Unsupervised Learning of Visual Representations using Videos"
50 / 99 papers shown
Title
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Universal hidden monotonic trend estimation with contrastive learning
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Self-Supervised Video Representation Learning with Meta-Contrastive Network
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Xun Guo
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Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
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19 Jan 2021
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Combining Self-Training and Self-Supervised Learning for Unsupervised Disfluency Detection
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Zhongyuan Wang
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Ting Liu
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29 Oct 2020
Contrastive Representation Learning: A Framework and Review
Phúc H. Lê Khắc
Graham Healy
Alan F. Smeaton
SSL
AI4TS
184
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10 Oct 2020
Conditional Negative Sampling for Contrastive Learning of Visual Representations
Mike Wu
Milan Mossé
Chengxu Zhuang
Daniel L. K. Yamins
Noah D. Goodman
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Addressing Class Imbalance in Scene Graph Parsing by Learning to Contrast and Score
He Huang
Shunta Saito
Yuta Kikuchi
Eiichi Matsumoto
Wei Tang
Philip S. Yu
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28 Sep 2020
Video Region Annotation with Sparse Bounding Boxes
Yuzheng Xu
Yang Wu
Nur Sabrina binti Zuraimi
S. Nobuhara
Ko Nishino
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Self-supervised Contrastive Video-Speech Representation Learning for Ultrasound
Jianbo Jiao
Yifan Cai
M. Alsharid
L. Drukker
A. Papageorghiou
J. A. Noble
8
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Self-supervised Video Representation Learning by Pace Prediction
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Jianbo Jiao
Yunhui Liu
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What Should Not Be Contrastive in Contrastive Learning
Tete Xiao
Xiaolong Wang
Alexei A. Efros
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Self-Supervised Learning of Audio-Visual Objects from Video
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Andrew Owens
Joon Son Chung
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Tracking Emerges by Looking Around Static Scenes, with Neural 3D Mapping
Adam W. Harley
S. K. Lakshmikanth
Paul Schydlo
Katerina Fragkiadaki
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9
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04 Aug 2020
Memory-augmented Dense Predictive Coding for Video Representation Learning
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Weidi Xie
Andrew Zisserman
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SeCo: Exploring Sequence Supervision for Unsupervised Representation Learning
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Yiheng Zhang
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Yingwei Pan
Tao Mei
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Distilling Visual Priors from Self-Supervised Learning
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Xin Wen
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Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition
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Shihao Xu
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Unsupervised Deep Representation Learning for Real-Time Tracking
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Wen-gang Zhou
Yibing Song
Chao Ma
Wei Liu
Houqiang Li
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Video Representation Learning by Recognizing Temporal Transformations
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Givi Meishvili
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Improving Object Detection with Selective Self-supervised Self-training
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Di Huang
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Preserving Semantic Neighborhoods for Robust Cross-modal Retrieval
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31
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Aligning Videos in Space and Time
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Tian-Chun Ye
Saurabh Gupta
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30
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Self-Supervised Policy Adaptation during Deployment
Nicklas Hansen
Rishabh Jangir
Yu Sun
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Lerrel Pinto
Xiaolong Wang
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Space-Time Correspondence as a Contrastive Random Walk
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Video Playback Rate Perception for Self-supervisedSpatio-Temporal Representation Learning
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Dezhao Luo
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VisualEchoes: Spatial Image Representation Learning through Echolocation
Ruohan Gao
Changan Chen
Ziad Al-Halah
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Kristen Grauman
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Gradients as Features for Deep Representation Learning
Fangzhou Mu
Yingyu Liang
Yin Li
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A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea
P. Martinez-Gonzalez
Alberto Garcia-Garcia
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Jose Garcia-Rodriguez
Antonis Argyros
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Deep Multimodal Feature Encoding for Video Ordering
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Proxy Anchor Loss for Deep Metric Learning
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Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions
Matheus Gadelha
Aruni RoyChowdhury
Gopal Sharma
E. Kalogerakis
Liangliang Cao
Erik Learned-Miller
Rui Wang
Subhransu Maji
3DPC
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Are Labels Necessary for Neural Architecture Search?
Chenxi Liu
Piotr Dollár
Kaiming He
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Self-supervised Point Set Local Descriptors for Point Cloud Registration
Yijun Yuan
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A. Nüchter
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Evolving Losses for Unsupervised Video Representation Learning
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Lei Ji
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Learning Spatiotemporal Features via Video and Text Pair Discrimination
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Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning
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Weiping Wang
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End-to-End Learning of Visual Representations from Uncurated Instructional Videos
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Jean-Baptiste Alayrac
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The Group Loss for Deep Metric Learning
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Self-Supervised Learning by Cross-Modal Audio-Video Clustering
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Oops! Predicting Unintentional Action in Video
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AETv2: AutoEncoding Transformations for Self-Supervised Representation Learning by Minimizing Geodesic Distances in Lie Groups
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Unsupervised Multi-Task Feature Learning on Point Clouds
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Autonomous Aerial Cinematography In Unstructured Environments With Learned Artistic Decision-Making
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Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
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