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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
Vi2CLR: Video and Image for Visual Contrastive Learning of Representation
ICCV 2021
Contrast and Order Representations for Video Self-Supervised Learning
ICCV 2021
DetCo: Unsupervised Contrastive Learning for Object Detection
ICCV 2021
On Feature Decorrelation in Self-Supervised Learning
ICCV 2021
Rethinking 360deg Image Visual Attention Modelling With Unsupervised Learning.
ICCV 2021
Instance Similarity Learning for Unsupervised Feature Representation
ICCV 2021
LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions
ICCV 2021
SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition
ICCV 2021
Learning Target Candidate Association To Keep Track of What Not To Track
ICCV 2021
Fourier Space Losses for Efficient Perceptual Image Super-Resolution
ICCV 2021
Geography-Aware Self-Supervised Learning
ICCV 2021
CrossCLR: Cross-Modal Contrastive Learning for Multi-Modal Video Representations
ICCV 2021
Contrasting Contrastive Self-Supervised Representation Learning Pipelines
ICCV 2021
Learning Hierarchical Graph Neural Networks for Image Clustering
ICCV 2021
Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner?
ICCV 2021
Multi-Task Self-Training for Learning General Representations
ICCV 2021
Explanations for Occluded Images
ICCV 2021
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
ICCV 2021
Self-Supervised Product Quantization for Deep Unsupervised Image Retrieval
ICCV 2021
Domain Adaptive Semantic Segmentation With Self-Supervised Depth Estimation
ICCV 2021
The Way to My Heart Is Through Contrastive Learning: Remote Photoplethysmography From Unlabelled Video
ICCV 2021
Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace
ICCV 2021
Learning Facial Representations From the Cycle-Consistency of Face
ICCV 2021
The Benefit of Distraction: Denoising Camera-Based Physiological Measurements Using Inverse Attention
ICCV 2021
Rethinking Self-Supervised Correspondence Learning: A Video Frame-Level Similarity Perspective
ICCV 2021
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