Papers Domain Generalization
“Domain Generalization” 태그가 달린 논문 2,407편 · 필터 해제
AVSRBench: A Multi-Condition AVSR Benchmark
While AVSR has achieved sub-1% word error rates on the standard LRS3 benchmark, its reliance on broadcast speech obscures whether this reflects true generalization or just domain adaptation. To investigate this gap, we e…
Domain GeneralizationDomain AdaptationOpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining
World-Action Models inherit world knowledge from video-generative priors, and channel it into executable control signals through embodied experience. Existing systems, however, are monolithic: the generative backbone, vi…
Domain GeneralizationPAPT++: Risk-Aware Adversarial Tuning and Generation for Single Domain Generalization
Single domain generalization (SDG) aims to learn a model from one labeled source domain that generalizes to unseen target domains. A common strategy is to enrich the source distribution with augmented or generated sample…
Domain GeneralizationLearning to Reason and Use Tools through Unsupervised Fine-Tuning in Task-Oriented Dialog Systems
Current dialogue systems struggle with dynamic information retrieval, often leading to hallucinations and lower response accuracy. We address this by adapting the ReAct framework for Task-Oriented Dialogue, enabling Larg…
Domain GeneralizationInformation RetrievalEXPOSE: Explainable and Domain-Robust Embeddings from Pathology Vision Foundation Models using Sparse Autoencoders
Vision Foundation Models (VFMs) are widely used in computational pathology but remain sensitive to domain shifts arising from variations in staining, tissue preparation, and scanner hardware. A key limitation is that VFM…
Domain GeneralizationCan Coding Agents Build Robust Baselines? A Skill-Based Approach for Automating the Medical Imaging Model-Development Pipeline
Developing competitive deep learning baselines for medical imaging remains a highly iterative process requiring literature review, implementation, experimentation, and expert refinement. Existing automation approaches ty…
Domain GeneralizationCode GenerationA Scalable Cross-Domain Event Extraction System via a Unified Generative Training Framework
Event extraction is fundamental to information extraction. Prior approaches often separate event detection and argument extraction or depend on dataset-specific designs, limiting scalability and cross-domain generalizati…
Information ExtractionDomain GeneralizationEvent ExtractionA Multi-Domain and Multi-Task Generative Framework with Explicit Task and Domain Conditioning for Cross-Domain Event Extraction
Event extraction aims to identify event triggers, classify event types, and extract arguments to construct structured event representations. Despite strong in-domain performance, developing models that generalize robustl…
Domain GeneralizationEvent ExtractionCellPath-Bench: A Multidimensional Benchmark for Whole-Slide Cellular Representations in Pathology Foundation Models
Pathology foundation models (PFMs) are increasingly used as general-purpose backbones, yet existing benchmarks cannot systematically diagnose their whole-slide cellular representation capabilities, including the decodabi…
Domain GeneralizationSimple, Safe, and Overlooked: Reclaiming Sustainable Domain Generalization with Statistical Color Matching
Hardware shifts, color variations, and changing patient characteristics between development and deployment routinely break trained medical image classifiers. Existing remedies fall short: standard color jittering provide…
Domain GeneralizationData AugmentationStyle TransferA Critical Synthesis of Uncertainty Quantification and Foundation Models for Semantic Segmentation
Foundation models are increasingly breaking what seemed to be impossible not long ago by enabling unprecedented accuracy and cross-domain generalization. Yet their lack of interpretability, tendency to be overconfident, …
Semantic SegmentationDomain GeneralizationVision-Language Models for Egocentric Video: From Hand-Object Interaction to Embodied AI
Egocentric video captures activities from the wearer's perspective, providing a direct view of human attention, hand--object interaction, and goal-directed behavior. This perspective is increasingly important for wearabl…
Representation LearningDomain GeneralizationDecision MakingCross-Domain Generalization in Machine Unlearning via Label-Conditioned Energy Magnitude Regularization
Machine unlearning removes the influence of specific data from a trained model. However, most methods treat the forgotten concept as isolated. In this paper, we study what happens to the rest of the model when a class is…
Domain GeneralizationPrimitive-Driven Compositional Forensic Visual Prompting for Open-World Face Anti-Spoofing
Open-world face anti-spoofing must address both covariate and semantic shifts: source and target domains differ in imaging conditions, while target domains contain diverse attack types absent from training. Existing prom…
Domain GeneralizationFace Anti-SpoofingDRAFE: Domain-Robust Asymmetric Fusion of Heterogeneous Detection Transformers for Cross-City Fine-Grained Traffic Object Detection
Deep learning-based object detectors are fundamental to intelligent transportation systems, enabling traffic monitoring, vehicle analytics, and infrastructure management. However, achieving both fine-grained vehicle reco…
Domain GeneralizationObject DetectionTowards Zero-Shot Domain Generalization for ID Cards Presentation Attack Detection
Presentation-Attack Detection (PAD) for national ID cards is limited by the lack of publicly available genuine samples, making it difficult for systems to generalize across countries. This paper introduces two main innov…
Domain GeneralizationMAGneT-3D: Monocular and Domain-Generalizable Temporal 3D Detection
Monocular temporal 3D detection aims to detect objects in 3D, given a monocular video. Query-based 3D detectors unify detection and cross-view association, but their learnable queries fit the spatial distribution of the …
Domain Generalization3D Object DetectionPILOT: Privileged Imitation Learning for End-to-End Motion Planning of Autonomous UAVs under Partial Observability
Autonomous navigation in cluttered environments is hampered by partial observability and dynamic constraints. This paper presents PILOT, a constraint-aware privileged imitation learning framework for vision-based end-to-…
Domain GeneralizationMotion PlanningLearning visual representations for compositional analysis of artworks and photographs
Composition, the deliberate arrangement of visual elements, is central to how meaning, emotion, and aesthetic quality are conveyed in artwork, yet it remains among the least formalized dimensions of visual understanding.…
Domain GeneralizationSaliency DetectionImage RetrievalHyTBE: 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 Generalization