Papers Self-Supervised Learning
“Self-Supervised Learning” 태그가 달린 논문 5,929편 · 필터 해제
Geometry-Driven Opti-Acoustic Co-Registration and View-Invariant Reflectivity Mapping for Side-Scan Sonar
Side-Scan Sonar (SSS) is a primary modality for large-scale underwater mapping, yet automated perception and cross-modal alignment are severely bottlenecked by acoustic complexities such as speckle noise, shadows, and ex…
Self-Supervised LearningBenthicDINO: Physics-Informed Self-Distillation for View-Invariant Side-Scan Sonar Representations
Automated perception in side-scan sonar (SSS) imagery is severely hindered by physical acoustic artifacts, resulting in representations that inextricably mix intrinsic seabed reflectivity with transient viewing geometrie…
Self-Supervised LearningCapturing Cardiac Cyclicity through Phase-Equivariant Self-Supervised Learning
The cyclic structure of physiological processes offers a natural prior for self-supervised representation learning, and the cardiac cycle provides a particularly well-defined setting in which to exploit it. We derive a p…
Self-Supervised LearningRepresentation LearningListening Forward: Next Patch Embedding Prediction Enables Scalable Audio Learners
Self-supervised learning (SSL) has driven substantial progress in audio representation learning, though existing methods have increasingly relied on elaborate pre-training recipes to reach competitive performance. A mark…
Self-Supervised LearningRepresentation LearningFar from the Crowd: Scalable Self-Supervised Learning via Geographic Isolation
Self-supervised pretraining on remote sensing imagery typically treats all samples as equally informative, despite large variability in geographic and visual structure. We propose a curriculum learning strategy for self-…
Self-Supervised LearningMUST-PET: MUltimodal Self-supervised learning across Tracers for whole-body PET/CT-based lesion segmentation
Deep learning-based whole-body PET-CT lesion segmentation can support cancer staging, treatment planning, and response assessment, but generalization is limited by scarce annotations and domain shifts. Self-supervised le…
Self-Supervised LearningLesion SegmentationRVLoss: Runoff Vote Loss for Self-Supervised LiDAR Scene Flow Estimation
LiDAR scene flow estimates point-wise motion between two consecutive scans, referred to as the source and target. Leading self-supervised methods typically minimize the Chamfer loss, the nearest neighbor distance between…
Self-Supervised LearningScene Flow EstimationTeeth2Point: A Two-Stage Dental CBCT ROI-to-Point Segmentation Framework
Modern deep learning architectures have demonstrated strong performance in dental CBCT segmentation. One remaining crucial challenge is accurate tooth labeling in cases with missing or malpositioned teeth, which are high…
Self-Supervised LearningSemantic SegmentationOmniAlign: A Unified Multilingual Aligner for Word and Sentence Alignment
Cross-lingual sequence alignment is fundamental for building and exploiting parallel corpora, spanning mappings from documents and sentences down to words and subwords. Existing tools, however, typically specialize in a …
Long-Context UnderstandingSelf-Supervised LearningWord AlignmentDegradation-Aligned Self-Supervised Learning for State of Health Estimation of Lithium-Ion Batteries under Label Sparsity
An accurate estimation of the state of health (SOH) underpins safe and optimized use of the battery system. Although compelling, data-driven SOH estimation models typically require large amounts of high-quality labeled c…
Self-Supervised LearningSelf-Supervised Noise2Noise-Enhanced Denoising for Continuous-Scan Air-Plasma THz Spectroscopy
Terahertz time-domain spectroscopy (THz-TDS) based on air-plasma generation and balanced air-biased coherent detection offers gap-free broadband coverage, but individual continuous-scan traces are strongly affected by pu…
Self-Supervised LearningSUGFW+: An Uncertainty-guided Feature Weighting Framework for Cold Start Active Adaptation of SAM in Medical Image Segmentation
Cold Start Active Learning (CSAL) is important in improving the performance of a medical image segmentation model with low annotation budget by querying a small subset for annotation from an unlabeled training set. Exist…
Medical Image SegmentationSelf-Supervised LearningActive LearningGhostPoint: Self-Supervised Representation Learning by Hallucinating Occluded LiDAR Structure
3D object detection from LiDAR point clouds is a core problem in autonomous driving. Recent advances in self-supervised learning (SSL) enable scalable pretraining and transfers well to per-point tasks such as semantic an…
Self-Supervised LearningRepresentation LearningPanoptic Segmentation3D Object DetectionCatching the Imposter: Self-Supervised Learning of Physical Coherence with Cross-Entity Feature Permutations
Scientific data often describe entities whose features are jointly governed by the laws of physics, yet existing self-supervised learning (SSL) objectives largely ignore this physical coherence. We introduce imposter, a …
Self-Supervised LearningMotor, Cognitive, or Corpus? What Survives Cross-Lingual Transfer in Speech-Based Parkinsons Disease Detection
Self-supervised learning (SSL) speech representations achieve strong performance for Parkinson's disease (PD) detection within individual corpora. However, it remains unclear whether these models capture disease-related …
Self-Supervised LearningCross-Lingual TransferA Controlled Study of Self-Supervised Image and Video Pretraining under Limited Resources
Visual foundation models are a cornerstone of image and video understanding but typically require large amounts of data and computation. The current scale required for pretraining visual foundation models may be unsustai…
Self-Supervised LearningRepresentation LearningImage ClassificationPose EstimationTrajectory Dynamics in Self-Supervised Learning Latent Space for Audio Deepfake Detection
Human speech production is constrained by physiology, giving rise to characteristic temporal structure on acoustic signals. We hypothesise that these constraints manifest as structured trajectory dynamics in the latent s…
Audio Deepfake DetectionSelf-Supervised LearningSpectral Aliasing Pretext: A novel task for Self-Supervised fault diagnosis in rotating machinery
Deep learning is a new way for machinery fault diagnosis but requires extensive labeled data, a scarce resource in industrial settings. We propose Spectral Aliasing Pretext (SAP), a self-supervised learning method that p…
Self-Supervised LearningFault DiagnosisLocation-Aware Fine-Grained Representation Learning for Medical Vision Foundation Models
Fine-grained visual representations are essential for medical image analysis, particularly when diagnostically relevant evidence is subtle and spatially localized. Modern transformer-based medical vision encoders must th…
Visual Question AnsweringSelf-Supervised LearningRepresentation LearningPhrase GroundingREIMU: Efficient Heterogeneous Hierarchical Reasoning for SSL-Based Speech Deepfake Detection
The increasing realism of speech generated by text-to-speech and voice conversion systems poses growing challenges to media integrity and voice authentication. Self-supervised learning (SSL) has substantially advanced sp…
Self-Supervised LearningDeepFake DetectionVoice Conversion