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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation AAAI 2021
A Global Occlusion-Aware Approach to Self-Supervised Monocular Visual Odometry AAAI 2021
HR-Depth: High Resolution Self-Supervised Monocular Depth Estimation AAAI 2021
MANGO: A Mask Attention Guided One-Stage Scene Text Spotter AAAI 2021
Deep Probabilistic Imaging: Uncertainty Quantification and Multi-modal Solution Characterization for Computational Imaging AAAI 2021
Temporal Relational Modeling with Self-Supervision for Action Segmentation AAAI 2021
Co-mining: Self-Supervised Learning for Sparsely Annotated Object Detection AAAI 2021
Semantic Consistency Networks for 3D Object Detection AAAI 2021
Learning Comprehensive Motion Representation for Action Recognition AAAI 2021
Invariant Teacher and Equivariant Student for Unsupervised 3D Human Pose Estimation AAAI 2021
FaceController: Controllable Attribute Editing for Face in the Wild AAAI 2021
ERNIE-ViL: Knowledge Enhanced Vision-Language Representations through Scene Graphs AAAI 2021
StrokeGAN: Reducing Mode Collapse in Chinese Font Generation via Stroke Encoding AAAI 2021
Enhancing Audio-Visual Association with Self-Supervised Curriculum Learning AAAI 2021
Weakly Supervised Semantic Segmentation for Large-Scale Point Cloud AAAI 2021
Deep Semantic Dictionary Learning for Multi-label Image Classification AAAI 2021
Exploiting Behavioral Consistence for Universal User Representation AAAI 2021
PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation AAAI 2021
Learning to Pre-train Graph Neural Networks AAAI 2021
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty AAAI 2021
Learning to Recommend from Sparse Data via Generative User Feedback AAAI 2021
Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation AAAI 2021
Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling AAAI 2021
Gaining Insight into SARS-CoV-2 Infection and COVID-19 Severity Using Self-supervised Edge Features and Graph Neural Networks AAAI 2021
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images AAAI 2021