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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
EFUF: Efficient Fine-Grained Unlearning Framework for Mitigating Hallucinations in Multimodal Large Language Models
EMNLP 2024
What How and When Should Object Detectors Update in Continually Changing Test Domains?
CVPR 2024
Continual Learning of Unsupervised Monocular Depth From Videos
WACV 2024
Label-Free Synthetic Pretraining of Object Detectors
WACV 2024
Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor
CVPR 2024
Limited Data, Unlimited Potential: A Study on ViTs Augmented by Masked Autoencoders
WACV 2024
SequenceMatch: Revisiting the Design of Weak-Strong Augmentations for Semi-Supervised Learning
WACV 2024
SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation
CVPR 2024
FELGA: Unsupervised Fragment Embedding for Fine-Grained Cross-Modal Association
WACV 2024
BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping
WACV 2024
Systematic Comparison of Semi-supervised and Self-supervised Learning for Medical Image Classification
CVPR 2024
Unsupervised Homography Estimation on Multimodal Image Pair via Alternating Optimization
NIPS 2024
Discovering and Mitigating Biases in CLIP-Based Image Editing
WACV 2024
Denoising and Selecting Pseudo-Heatmaps for Semi-Supervised Human Pose Estimation
WACV 2024
Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods
CVPR 2024
CL-MAE: Curriculum-Learned Masked Autoencoders
WACV 2024
Diverse Imagenet Models Transfer Better
WACV 2024
SfmCAD: Unsupervised CAD Reconstruction by Learning Sketch-based Feature Modeling Operations
CVPR 2024
Disentangled Pre-Training for Image Matting
WACV 2024
Tunable Hybrid Proposal Networks for the Open World
WACV 2024
Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange
CVPR 2024
The Background Also Matters: Background-Aware Motion-Guided Objects Discovery
WACV 2024
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation
WACV 2024
Hyperbolic Anomaly Detection
CVPR 2024
LoTLIP: Improving Language-Image Pre-training for Long Text Understanding
NIPS 2024
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