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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
Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation
ICCV 2021
Exploring Geometry-Aware Contrast and Clustering Harmonization for Self-Supervised 3D Object Detection
ICCV 2021
Grafit: Learning Fine-Grained Image Representations With Coarse Labels
ICCV 2021
Equivariant Imaging: Learning Beyond the Range Space
ICCV 2021
Joint Representation Learning and Novel Category Discovery on Single- and Multi-Modal Data
ICCV 2021
Divide and Contrast: Self-Supervised Learning From Uncurated Data
ICCV 2021
Joint Audio-Visual Deepfake Detection
ICCV 2021
Time-Equivariant Contrastive Video Representation Learning
ICCV 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition
ICCV 2021
Video Annotation for Visual Tracking via Selection and Refinement
ICCV 2021
SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing
ICCV 2021
Learning Temporal Dynamics From Cycles in Narrated Video
ICCV 2021
Me-Momentum: Extracting Hard Confident Examples From Noisily Labeled Data
ICCV 2021
Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset With Mechatronic Alignment
ICCV 2021
Mean Shift for Self-Supervised Learning
ICCV 2021
Shape Self-Correction for Unsupervised Point Cloud Understanding
ICCV 2021
Continual Prototype Evolution: Learning Online From Non-Stationary Data Streams
ICCV 2021
Iterative Label Cleaning for Transductive and Semi-Supervised Few-Shot Learning
ICCV 2021
Trash To Treasure: Harvesting OOD Data With Cross-Modal Matching for Open-Set Semi-Supervised Learning
ICCV 2021
Regularizing Nighttime Weirdness: Efficient Self-Supervised Monocular Depth Estimation in the Dark
ICCV 2021
Coarsely-Labeled Data for Better Few-Shot Transfer
ICCV 2021
Emerging Properties in Self-Supervised Vision Transformers
ICCV 2021
AESOP: Abstract Encoding of Stories, Objects, and Pictures
ICCV 2021
Encoder-Decoder With Multi-Level Attention for 3D Human Shape and Pose Estimation
ICCV 2021
The Animation Transformer: Visual Correspondence via Segment Matching
ICCV 2021
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