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Self-Supervised Learning

8,255 papers

Papers per year

Papers

Self-Supervised Learning With Masked Autoencoders for Teeth Segmentation From Intra-Oral 3D Scans WACV 2024
Masking Improves Contrastive Self-Supervised Learning for ConvNets, and Saliency Tells You Where WACV 2024
Learning Saliency From Fixations WACV 2024
Kaizen: Practical Self-Supervised Continual Learning With Continual Fine-Tuning WACV 2024
An Analysis of Initial Training Strategies for Exemplar-Free Class-Incremental Learning WACV 2024
Self-Annotated 3D Geometric Learning for Smeared Points Removal WACV 2024
Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study WACV 2024
LatentDR: Improving Model Generalization Through Sample-Aware Latent Degradation and Restoration WACV 2024
MonoProb: Self-Supervised Monocular Depth Estimation With Interpretable Uncertainty WACV 2024
ARNIQA: Learning Distortion Manifold for Image Quality Assessment WACV 2024
Evaluation of Video Masked Autoencoders' Performance and Uncertainty Estimations for Driver Action and Intention Recognition WACV 2024
MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds WACV 2024
FreMIM: Fourier Transform Meets Masked Image Modeling for Medical Image Segmentation WACV 2024
Contextual Affinity Distillation for Image Anomaly Detection WACV 2024
Self-Supervised Relation Alignment for Scene Graph Generation WACV 2024
FOUND: Foot Optimization With Uncertain Normals for Surface Deformation Using Synthetic Data WACV 2024
ICF-SRSR: Invertible Scale-Conditional Function for Self-Supervised Real-World Single Image Super-Resolution WACV 2024
Self-Supervised Learning of Semantic Correspondence Using Web Videos WACV 2024
Multimodality-Guided Image Style Transfer Using Cross-Modal GAN Inversion WACV 2024
OmniVec: Learning Robust Representations With Cross Modal Sharing WACV 2024
OTAS: Unsupervised Boundary Detection for Object-Centric Temporal Action Segmentation WACV 2024
Aligning Non-Causal Factors for Transformer-Based Source-Free Domain Adaptation WACV 2024
Unsupervised Domain Adaptation for Semantic Segmentation With Pseudo Label Self-Refinement WACV 2024
Evolve: Enhancing Unsupervised Continual Learning With Multiple Experts WACV 2024
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation WACV 2024