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A Review on Deep Learning Techniques for Video Prediction

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Boosting Self-Supervised Learning via Knowledge Transfer

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Self-Supervised Learning by Cross-Modal Audio-Video Clustering

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Multi-Task Self-Supervised Learning for Robust Speech Recognition

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Computer Vision – ECCV 2016

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Small Data Challenges in Big Data Era: A Survey of Recent Progress on Unsupervised and Semi-Supervised Methods

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SpeedNet: Learning the Speediness in Videos

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VideoMoCo: Contrastive Video Representation Learning with Temporally Adversarial Examples

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3D Human Action Representation Learning via Cross-View Consistency Pursuit

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Disentangled Self-Supervision in Sequential Recommenders

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Augmented Skeleton Based Contrastive Action Learning with Momentum LSTM for Unsupervised Action Recognition

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Self-Supervised MultiModal Versatile NetworksPreprint

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Self-supervised Video Representation Learning by Pace Prediction

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Audio-Visual Instance Discrimination with Cross-Modal Agreement

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MS2L: Multi-Task Self-Supervised Learning for Skeleton Based Action Recognition

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PREDICT & CLUSTER: Unsupervised Skeleton Based Action Recognition

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MERLOT: Multimodal Neural Script Knowledge ModelsPreprint

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Memory-Augmented Dense Predictive Coding for Video Representation Learning

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Self-Supervised Spatio-Temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

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Online Deep Clustering for Unsupervised Representation Learning

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Human Mesh Recovery From Monocular Images via a Skeleton-Disentangled Representation

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Learning Video Representations using Contrastive Bidirectional TransformerPreprint

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You Said That?: Synthesising Talking Faces from Audio

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Cross-Domain Self-Supervised Multi-task Feature Learning Using Synthetic Imagery

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Weakly Supervised Action Learning with RNN Based Fine-to-Coarse Modeling

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Unsupervised Learning of Long-Term Motion Dynamics for Videos

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Tile2Vec: Unsupervised representation learning for remote sensing data

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Self-Supervised Learning for Domain Adaptation on Point Clouds

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MAST: A Memory-Augmented Self-Supervised Tracker

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Learning Image Representations by Completing Damaged Jigsaw Puzzles

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Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning

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TCLR: Temporal contrastive learning for video representation

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Generating the Future with Adversarial Transformers

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Label Efficient Learning of Transferable Representations across Domains and TasksPreprint

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Audiovisual SlowFast Networks for Video RecognitionPreprint

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FLAVR: Flow-Agnostic Video Representations for Fast Frame Interpolation

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Self-supervised learning for videos: A survey

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Space-Time Correspondence as a Contrastive Random WalkPreprint

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Contrastive Predictive Coding for Human Activity Recognition

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Video Cloze Procedure for Self-Supervised Spatio-Temporal Learning

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SignBERT+: Hand-Model-Aware Self-Supervised Pre-Training for Sign Language Understanding

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Just Go With the Flow: Self-Supervised Scene Flow Estimation

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Masked reconstruction based self-supervision for human activity recognition

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Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings

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LIMU-BERT

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Iterative Reorganization With Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning

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Whitening for Self-Supervised Representation LearningPreprint

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TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning

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Counting Out Time: Class Agnostic Video Repetition Counting in the Wild

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Evolving Losses for Unsupervised Video Representation Learning

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FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

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TSP: Temporally-Sensitive Pretraining of Video Encoders for Localization Tasks

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SelfHAR: Improving Human Activity Recognition through Self-training with Unlabeled Data

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Unsupervised Learning using Sequential Verification for Action Recognition.Preprint

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Unsupervised Representation Learning by Sorting Sequences

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Unsupervised Learning of Visual Representations by Solving Shuffled Long Video-Frames Temporal Order Prediction

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Self-Supervised Spatiotemporal Learning via Video Clip Order Prediction

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Enhancing Unsupervised Video Representation Learning by Temporal Contrastive Modelling Using 2D CNN

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