Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey
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- Type
- preprint
- Published
- 2019-02-16
- Cited by
- 2,060
- References
- 218
- Access
- Open access
- OpenAlex
- https://openalex.org/W2911779594
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:62841734
Keywords
Computer science, Artificial intelligence, Machine learning, Deep learning, Feature (linguistics)
References
- UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild
- Unsupervised Visual Representation Learning by Context Prediction
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
- FlowNet: Learning Optical Flow with Convolutional Networks
- Towards Good Practices for Very Deep Two-Stream ConvNets
- You Only Look Once: Unified, Real-Time Object Detection
- Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting
- Learning to See by Moving
- Learning Spatiotemporal Features with 3D Convolutional Networks
- The New Data and New Challenges in Multimedia Research
- Least Squares Support Vector Machine Classifiers
- Multi-view Convolutional Neural Networks for 3D Shape Recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition
- Bag of visual words and fusion methods for action recognition: Comprehensive study and good practice
- Show and tell: A neural image caption generator
- Fully convolutional networks for semantic segmentation
- Beyond short snippets: Deep networks for video classification
- Action recognition with trajectory-pooled deep-convolutional descriptors
- Long-term recurrent convolutional networks for visual recognition and description
- Image Classification with the Fisher Vector: Theory and Practice
Cited by
- Unsupervised Feature Learning for Point Cloud by Contrasting and Clustering With Graph Convolutional Neural Network
- Self-Supervised Similarity Learning for Digital Pathology
- Predicting delay discounting from heterogeneous social media data
- Semi-Supervised Learning with Self-Supervised Networks
- Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods
- Self-Supervised Domain Adaptation for Computer Vision Tasks
- Accurate and Robust Pulmonary Nodule Detection by 3D Feature Pyramid Network with Self-supervised Feature Learning
- SelFlow: Self-Supervised Learning of Optical Flow
- Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis
- Multi-Branch Context-Aware Network for Person Re-Identification
- Effective End-to-end Unsupervised Outlier Detection via Inlier Priority of Discriminative Network
- Self-supervised Scale Equivariant Network for Weakly Supervised Semantic Segmentation
- On the role of features in human activity recognition
- Towards Shape Biased Unsupervised Representation Learning for Domain Generalization
- Spatiotemporal Representation Learning For Human Action Recognition And Localization
- Self-Supervised Learning for Autonomous Vehicles Perception: A Conciliation Between Analytical and Learning Methods
- Information based Deep Clustering: An experimental study
- Learning to Generalize One Sample at a Time with Self-Supervision
- Self-Supervised Representation Learning from Electroencephalography Signals
- Unsupervised Feature Learning for Point Cloud Understanding by Contrasting and Clustering Using Graph Convolutional Neural Networks
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