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Methodology
← Learning Types
Deep Learning
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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
Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation
WACV 2025
Attention-Guided Masked Autoencoders for Learning Image Representations
WACV 2025
MOOSS: Mask-Enhanced Temporal Contrastive Learning for Smooth State Evolution in Visual Reinforcement Learning
WACV 2025
Removing Geometric Bias in One-Class Anomaly Detection with Adaptive Feature Perturbation
WACV 2025
Data-Efficient 3D Visual Grounding via Order-Aware Referring
WACV 2025
Boosting Semi-Supervised Video Action Detection with Temporal Context
WACV 2025
DeepMIM: Deep Supervision for Masked Image Modeling
WACV 2025
Towards On-the-Fly Novel Category Discovery in Dynamic Long-Tailed Distributions
WACV 2025
Feature-Level and Spatial-Level Activation Expansion for Weakly-Supervised Semantic Segmentation
WACV 2025
Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition
WACV 2025
DASC-SPT: Towards Self-Supervised Panoramic Semantic Segmentation
WACV 2025
SAND: Enhancing Open-Set Neuron Descriptions through Spatial Awareness
WACV 2025
Learning Keypoints for Multi-Agent Behavior Analysis using Self-Supervision
WACV 2025
Recurrence-Based Vanishing Point Detection
WACV 2025
RendBEV: Semantic Novel View Synthesis for Self-Supervised Bird's Eye View Segmentation
WACV 2025
FastVideoEdit: Leveraging Consistency Models for Efficient Text-to-Video Editing
WACV 2025
SV-data2vec: Guiding Video Representation Learning with Latent Skeleton Targets
WACV 2025
Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
WACV 2025
XR-MBT: Multi-Modal Full Body Tracking for XR through Self-Supervision with Learned Depth Point Cloud Registration
WACV 2025
J-Invariant Volume Shuffle for Self-Supervised Cryo-Electron Tomogram Denoising on Single Noisy Volume
WACV 2025
Learning to Visually Connect Actions and their Effects
WACV 2025
FDS: Feedback-Guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
WACV 2025
HEX: Hierarchical Emergence Exploitation in Self-Supervised Algorithms
WACV 2025
Lifting by Gaussians: A Simple Fast and Flexible Method for 3D Instance Segmentation
WACV 2025
SiM3D: Single-instance Multiview Multimodal and Multisetup 3D Anomaly Detection Benchmark
ICCV 2025
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