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← Learning Types
Machine Learning
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Learning Types
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Self-Supervised Learning
8,255 papers
Papers per year
2006: 8
2007: 7
2008: 7
2009: 9
2010: 12
2011: 7
2012: 13
2013: 11
2014: 12
2015: 17
2016: 35
2017: 97
2018: 191
2019: 441
2020: 663
2021: 1166
2022: 1170
2023: 1544
2024: 1323
2025: 1205
2026: 317
Papers
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries
CVPR 2021
Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On
CVPR 2021
LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity
CVPR 2021
CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild
CVPR 2021
Forecasting Irreversible Disease via Progression Learning
CVPR 2021
Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches
CVPR 2021
CASTing Your Model: Learning To Localize Improves Self-Supervised Representations
CVPR 2021
LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents
CVPR 2021
Shot Contrastive Self-Supervised Learning for Scene Boundary Detection
CVPR 2021
Multi-Attentional Deepfake Detection
CVPR 2021
SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection
CVPR 2021
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
CVPR 2021
Learning the Predictability of the Future
CVPR 2021
PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss
CVPR 2021
Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning
CVPR 2021
DeepSurfels: Learning Online Appearance Fusion
CVPR 2021
Self-Supervised Motion Learning From Static Images
CVPR 2021
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning
CVPR 2021
Multiresolution Knowledge Distillation for Anomaly Detection
CVPR 2021
Self-Supervised Video Representation Learning by Context and Motion Decoupling
CVPR 2021
SPSG: Self-Supervised Photometric Scene Generation From RGB-D Scans
CVPR 2021
Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning
CVPR 2021
DAP: Detection-Aware Pre-Training With Weak Supervision
CVPR 2021
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning
CVPR 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration
CVPR 2021
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