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Methodology
← Learning Types
Deep Learning
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Learning Types
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Self-Supervised Learning
2959 directly classified papers
Papers per year
2006: 3
2007: 1
2008: 2
2009: 3
2010: 1
2011: 3
2012: 5
2013: 5
2014: 8
2015: 9
2016: 15
2017: 23
2018: 59
2019: 146
2020: 289
2021: 389
2022: 485
2023: 547
2024: 445
2025: 502
2026: 19
Papers
Spatio-Focal Bidirectional Disparity Estimation From a Dual-Pixel Image
CVPR 2023
DejaVu: Conditional Regenerative Learning To Enhance Dense Prediction
CVPR 2023
MACARONS: Mapping and Coverage Anticipation With RGB Online Self-Supervision
CVPR 2023
Multi-View Domain Adaptive Object Detection on Camera Networks
AAAI 2023
MixPHM: Redundancy-Aware Parameter-Efficient Tuning for Low-Resource Visual Question Answering
CVPR 2023
Self-Supervised Learning From Images With a Joint-Embedding Predictive Architecture
CVPR 2023
MHCCL: Masked Hierarchical Cluster-Wise Contrastive Learning for Multivariate Time Series
AAAI 2023
Masked Image Training for Generalizable Deep Image Denoising
CVPR 2023
Multi-Modal Representation Learning With Text-Driven Soft Masks
CVPR 2023
MVImgNet: A Large-Scale Dataset of Multi-View Images
CVPR 2023
A Data Source for Reasoning Embodied Agents
AAAI 2023
Gated Stereo: Joint Depth Estimation From Gated and Wide-Baseline Active Stereo Cues
CVPR 2023
DegAE: A New Pretraining Paradigm for Low-Level Vision
CVPR 2023
Representation Learning by Detecting Incorrect Location Embeddings
AAAI 2023
PointClustering: Unsupervised Point Cloud Pre-Training Using Transformation Invariance in Clustering
CVPR 2023
Learning Visual Representations via Language-Guided Sampling
CVPR 2023
Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders
ICCV 2023
Modality-Agnostic Debiasing for Single Domain Generalization
CVPR 2023
Learning with Partial Labels from Semi-supervised Perspective
AAAI 2023
Out-of-Distribution Detection for Monocular Depth Estimation
ICCV 2023
Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification
ICCV 2023
Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution
ICCV 2023
Improving Unsupervised Visual Program Inference with Code Rewriting Families
ICCV 2023
Self-Guided Diffusion Models
CVPR 2023
MOST: Multiple Object Localization with Self-Supervised Transformers for Object Discovery
ICCV 2023
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