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Domain Adaptation

8656 directly classified papers

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Papers

CommonForms: A Large, Diverse Dataset for Form Field Detection WACV 2026
RoadBench: A Vision-Language Foundation Model and Benchmark for Road Damage Understanding WACV 2026
Learning from Unknown for Open-Set Test-Time Adaptation WACV 2026
Real-Time Tracking of Flexible Markers in Low-Contrast Fluoroscopy Using a Deep Neural Network Trained Solely on Synthetic Data WACV 2026
Logit-Adjusted Test-Time Adaptation under Partial Class Imbalance WACV 2026
UCDSC: Open Set UnCertainty aware Deep Simplex Classifier for Medical Image Datasets WACV 2026
GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts WACV 2026
Knowledge to Sight: Reasoning over Visual Attributes via Knowledge Decomposition for Abnormality Grounding WACV 2026
MedPEFT-CL: Dual-Phase Parameter-Efficient Continual Learning with Medical Semantic Adapter and Bidirectional Memory Consolidation WACV 2026
FairVLM: Enhancing Fairness and Prompt Sensitivity in Vision Language Models for Medical Image Segmentation WACV 2026
Sun-E: Dataset and Benchmark for Event-Based Sun Sensing WACV 2026
CRADLE Bench: A Clinician-Annotated Benchmark for Multi-Faceted Mental Health Crisis and Safety Risk Detection EACL 2026
Coordinates from Context: Using LLMs to Ground Complex Location References EACL 2026
AdaptBPE: From General Purpose to Specialized Tokenizers EACL 2026
Knowledge Augmentation Enhances Token Classification for Recipe Understanding EACL 2026
Text Classification Under Class Distribution Shift: A Survey EACL 2026
CHROMIC: Chronological Reasoning Across Multi-Panel Comics EACL 2026
Explaining Generalization of AI-Generated Text Detectors Through Linguistic Analysis EACL 2026
Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact EACL 2026
Exploring Generative Process Reward Modeling for Semi-Structured Data: A Case Study of Table Question Answering EACL 2026
Post-ASR Correction in Hindi: Comparing Language Models and Large Language Models in Low-Resource Scenarios EACL 2026
Thesis proposal: COGNILENS: Analyzing Cognitive Decline in Language Models for Alzheimer’s Monitoring EACL 2026
Thesis proposal: Are We Losing Textual Diversity to Natural Language Processing? EACL 2026
Active Learning for Corpus Refinement: Cost-Effective Preprocessing to Improve Validity of Applied Quantitative Text Analysis EACL 2026
OAD-Promoter: Enhancing Zero-Shot VQA Using Large Language Models with Object Attribute Description AAAI 2026