Papers Domain Generalization
“Domain Generalization” 태그가 달린 논문 2,408편 · 필터 해제
HyTBE: Hyperbolic Target-Background Expert Model for Cross-Domain Infrared Small Target Detection
Infrared small target detection (IRSTD) has achieved substantial progress under domain-consistent evaluation, yet detector performance often degrades markedly when generalizing to unseen infrared domains. Existing method…
Domain GeneralizationSearching for Robust Augmentations to Improve Out-of-Domain Generalization in Dermoscopic Skin Cancer Classification
Background/Objectives: Dermoscopic skin-lesion classifiers lose accuracy when images arrive from a new clinic or a new device. We asked which data augmentations reduce that loss, and measured the effect under a protocol …
Skin Cancer ClassificationDomain GeneralizationData AugmentationChaos Is a LADDER: Domain Generalization Beyond Invariance via Reweighting
Domain generalization (DG) aims to learn from multiple source domains and generalize to unseen target domains. Most DG methods pursue invariance: they seek a causal representation whose prediction rule is invariant acros…
Domain GeneralizationThe Cross-Domain Generalization Cost of Offensive Language Detection
Offensive language detection models generally suffer performance degradation when deployed across datasets and across languages, yet most existing studies stop at reporting this phenomenon and lack a systematic methodolo…
Domain GeneralizationProjection Pursuit CPCANet for Domain Generalization
Domain Generalization (DG) aims to learn representations robust to distribution shifts. Recent geometric alignment methods, such as CPCANet, extract domain-invariant structures through batch-wise Common Principal Compone…
Domain GeneralizationScalable Open-Source Visuotactile Sensor for 6-Axis Contact Wrench Estimation in Tensegrity Robots
This paper presents a scalable, open-source visuotactile sensing system for tensegrity robots that enables six-axis wrench estimation and contact detection. The proposed endcap sensor integrates an elastomeric shell, a 3…
Domain GeneralizationContact DetectionA Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems
Recent foundation models (FMs) for zero-shot reconstruction of dynamical systems (DS) achieve strong out-of-domain generalization but provide little insight into the mechanisms that underlie their forecasts. Such an unde…
Domain GeneralizationSD-MAR: Multi-image Analytical Reasoning via Synthetic Data and Reinforcement Learning
Vision Language Models (VLMs) demonstrate strong perceptual abilities but remain limited in tasks requiring analytical reasoning across multiple visual states, such as multi-image comparison, change detection, and multi-…
Reinforcement LearningDomain GeneralizationChange DetectionLabel-Decoupled Style Augmentation for Domain Generalization in Multi-Label Remote Sensing Scene Classification
Multi-label classification assigns several co-occurring labels to each aerial scene, yet deployed models often encounter data distributions different from their training. Feature-statistics augmentation such as MixStyle,…
Multi-Label ClassificationDomain GeneralizationScene ClassificationFoundationGeo: Learning Spatial Pixel-Wise Fields for Monocular Metric Geometry
We present FoundationGeo, a two-stage framework that explicitly bridges relative and metric prediction via spatial calibration and principled data design. Stage 1 learns a high-fidelity, affine-invariant geometry model b…
Domain GeneralizationRED-Sphere: Hyperspherical Residual Edge Debiasing for Cross-Population Fundus Disease Domain Generalization
Medical image classifiers are often trained within one source population, yet clinical deployment requires robustness to patients whose appearance, acquisition style, and disease prevalence differ from the source cohort.…
Domain GeneralizationImage ClassificationWhy Domain Matters: Domain-Aware Benchmarking of Underwater Object Detection and Annotation Quality
Underwater object detection is strongly affected by domain shift, where performance can vary significantly across different locations, habitats, and deployment conditions. However, detector performance is typically evalu…
Domain GeneralizationObject DetectionGeneralization Theory for Through-the-Wall Radar Human Activity Recognition
Through-the-wall radar (TWR) human activity recognition (HAR) is important for non-line-of-sight indoor sensing, security monitoring, and emergency rescue. However, structured distribution shifts caused by person variati…
Human Activity RecognitionDomain GeneralizationVSRo-200: A Romanian Visual Speech Recognition Dataset for Studying Supervision and Multimodal Robustness
We introduce VSRo-200, the first large-scale dataset for visual speech recognition (lip reading) in Romanian, comprising 200 hours of real-world podcast videos. All samples are annotated with pseudo-labels generated by a…
Audio-Visual Speech RecognitionDomain GeneralizationLip ReadingPrototype-Anchored Generalized Manifold Regression for Unknown-Domain Object Detection
In this paper, we study Single-Domain Generalized Object Detection (Single-DGOD), which aims to transfer a detector trained on a single source domain to multiple unseen domains. Existing methods mainly rely on simulation…
Zero-Shot Semantic SegmentationDomain GeneralizationData AugmentationObject DetectionWebRetriever: A Large-Scale Comprehensive Benchmark for Efficient Web Agent Evaluation
As web agents increasingly demonstrate capabilities in automated task execution, the development of robust evaluation frameworks for assessing their navigation and task completion performance has emerged as a critical re…
Information ExtractionDomain GeneralizationG2VD: Generalizable AI-Generated Video Detection via Counterfactual Intervention and Causal Disentanglement
The rapid advancement of AI-generated videos poses increasing security risks and calls for robust detectors with strong cross-domain generalization. Although existing methods achieve promising results under in-domain eva…
Domain GeneralizationPhysics-Informed Graph Learning with Uncertainty Awareness for Open-Set Domain Generalization in Fault Diagnosis
Intelligent industrial maintenance critically relies on reliable fault diagnosis of rotating machinery. However, it faces formidable challenges from unknown fault types and domain shifts induced by varying operating cond…
Domain GeneralizationFault DiagnosisGraph LearningGeographic Diversity Beats Data Volume for Cross-Domain Generalization in Zero-Label JEPA Driving World Models
Self-supervised latent world models can assign a surprise score to driving scenarios without any human labels. A natural follow-up question is whether such a model, trained on driving data from one geographic region, can…
Domain GeneralizationCrossHallu: Do Hallucination Signals Generalize Across Languages and Domains in Large Language Model's Internals?
Recent hallucination detection techniques in large language models (LLMs) focus on directly extracting features from a model's internal representations and training a classifier on these features to detect hallucinations…
Cross-Lingual TransferDomain Generalization