{"total":62,"rows":[{"id":"2311.16510","title":"Source-Free Domain Adaptation with Frozen Multimodal Foundation Model","created":"2023-11-27","cited_by_count":55,"area":null},{"id":"2401.02460","title":"Improved Zero-Shot Classification by Adapting VLMs with Text Descriptions","created":"2024-01-04","cited_by_count":54,"area":"mllm"},{"id":"2403.02899","title":"Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation","created":"2024-03-05","cited_by_count":32,"area":null},{"id":"2406.01658","title":"Proxy Denoising for Source-Free Domain Adaptation","created":"2024-06-03","cited_by_count":21,"area":null},{"id":"2404.00710","title":"Unknown Prompt, the only Lacuna: Unveiling CLIP's Potential for Open Domain Generalization","created":"2024-03-31","cited_by_count":20,"area":null},{"id":"2505.19694","title":"Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition","created":"2025-05-26","cited_by_count":17,"area":null},{"id":"2411.16799","title":"One is Plenty: A Polymorphic Feature Interpreter for Immutable Heterogeneous Collaborative Perception","created":"2024-11-25","cited_by_count":15,"area":null},{"id":"2504.14280","title":"CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey","created":"2025-04-19","cited_by_count":15,"area":null},{"id":"2401.14148","title":"LanDA: Language-Guided Multi-Source Domain Adaptation","created":"2024-01-25","cited_by_count":13,"area":null},{"id":"2403.06946","title":"Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation","created":"2024-03-11","cited_by_count":13,"area":"mllm"},{"id":"2503.23220","title":"Large Self-Supervised Models Bridge the Gap in Domain Adaptive Object Detection","created":"2025-03-29","cited_by_count":9,"area":null},{"id":"2403.01209","title":"Data-free Multi-label Image Recognition via LLM-powered Prompt Tuning","created":"2024-03-02","cited_by_count":8,"area":"mllm"},{"id":"2406.09353","title":"Enhancing Domain Adaptation through Prompt Gradient Alignment","created":"2024-06-13","cited_by_count":8,"area":"mllm"},{"id":"2410.09004","title":"DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection","created":"2024-10-11","cited_by_count":8,"area":null},{"id":"2410.24114","title":"Nearest Neighbor Normalization Improves Multimodal Retrieval","created":"2024-10-31","cited_by_count":7,"area":null},{"id":"2506.18504","title":"Generalizing vision-language models to novel domains: A comprehensive survey","created":"2025-06-23","cited_by_count":7,"area":"mllm"},{"id":"2405.16417","title":"CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection","created":"2024-05-26","cited_by_count":6,"area":"mllm"},{"id":"2411.12558","title":"Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Framework","created":"2024-11-19","cited_by_count":6,"area":null},{"id":"2403.07601","title":"Unified Source-Free Domain Adaptation","created":"2024-03-12","cited_by_count":5,"area":null},{"id":"2407.01842","title":"CLIP the Divergence: Language-guided Unsupervised Domain Adaptation","created":"2024-07-01","cited_by_count":5,"area":null},{"id":"2409.00397","title":"COSMo: CLIP Talks on Open-Set Multi-Target Domain Adaptation","created":"2024-08-31","cited_by_count":5,"area":null},{"id":"2503.05776","title":"FAA-CLIP: Federated Adversarial Adaptation of CLIP","created":"2025-02-26","cited_by_count":5,"area":"mllm"},{"id":"2308.11605","title":"GOPro: Generate and Optimize Prompts in CLIP using Self-Supervised Learning","created":"2023-08-22","cited_by_count":4,"area":null},{"id":"2312.04066","title":"Combining inherent knowledge of vision-language models with unsupervised domain adaptation through strong-weak guidance","created":"2023-12-07","cited_by_count":4,"area":"mllm"},{"id":"2404.03799","title":"Language-Guided Instance-Aware Domain-Adaptive Panoptic Segmentation","created":"2024-04-04","cited_by_count":4,"area":null},{"id":"2507.00721","title":"UPRE: Zero-Shot Domain Adaptation for Object Detection via Unified Prompt and Representation Enhancement","created":"2025-07-01","cited_by_count":4,"area":null},{"id":"2405.12710","title":"Text-Video Retrieval with Global-Local Semantic Consistent Learning","created":"2024-05-21","cited_by_count":3,"area":null},{"id":"2405.18376","title":"Empowering Source-Free Domain Adaptation via MLLM-Guided Reliability-Based Curriculum Learning","created":"2024-05-28","cited_by_count":3,"area":null},{"id":"2407.04207","title":"Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning","created":"2024-07-05","cited_by_count":3,"area":"mllm"},{"id":"2503.06106","title":"Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation","created":"2025-03-08","cited_by_count":3,"area":null},{"id":"2410.15811","title":"Data-Efficient CLIP-Powered Dual-Branch Networks for Source-Free Unsupervised Domain Adaptation","created":"2024-10-21","cited_by_count":2,"area":null},{"id":"2501.06031","title":"Generate, Transduct, Adapt: Iterative Transduction with VLMs","created":"2025-01-10","cited_by_count":2,"area":"mllm"},{"id":"2503.06014","title":"Towards Ambiguity-Free Spatial Foundation Model: Rethinking and Decoupling Depth Ambiguity","created":"2025-03-08","cited_by_count":2,"area":null},{"id":"2503.23529","title":"ViLAaD: Enhancing \"Attracting and Dispersing'' Source-Free Domain Adaptation with Vision-and-Language Model","created":"2025-03-30","cited_by_count":2,"area":null},{"id":"2603.07314","title":"Faster-HEAL: An Efficient and Privacy-Preserving Collaborative Perception Framework for Heterogeneous Autonomous Vehicles","created":"2026-03-07","cited_by_count":2,"area":null},{"id":"2311.16496","title":"Can Out-of-Domain data help to Learn Domain-Specific Prompts for Multimodal Misinformation Detection?","created":"2023-11-27","cited_by_count":1,"area":null},{"id":"2405.02586","title":"Enhancing Vision-Language Models Generalization via Diversity-Driven Novel Feature Synthesis","created":"2024-05-04","cited_by_count":1,"area":"mllm"},{"id":"2409.12597","title":"LARE: Latent Augmentation using Regional Embedding with Vision-Language Model","created":"2024-09-19","cited_by_count":1,"area":"mllm"},{"id":"2510.11296","title":"$\\Delta \\mathrm{Energy}$: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization","created":"2025-10-13","cited_by_count":1,"area":"mllm"},{"id":"2510.24044","title":"Mitigating Negative Transfer via Reducing Environmental Disagreement","created":"2025-10-28","cited_by_count":1,"area":null},{"id":"2511.19147","title":"Collaborative Learning with Multiple Foundation Models for Source-Free Domain Adaptation","created":"2025-11-24","cited_by_count":1,"area":null},{"id":"2602.20409","title":"CLIPoint3D: Language-Grounded Few-Shot Unsupervised 3D Point Cloud Domain Adaptation","created":"2026-02-23","cited_by_count":1,"area":"mllm"},{"id":"2407.04066","title":"E2MPL:An Enduring and Efficient Meta Prompt Learning Framework for Few-shot Unsupervised Domain Adaptation","created":"2024-07-04","cited_by_count":0,"area":null},{"id":"2411.15976","title":"DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptation","created":"2024-11-24","cited_by_count":0,"area":null},{"id":"2412.04682","title":"Two stages domain invariant representation learners solve the large co-variate shift in unsupervised domain adaptation with two dimensional data domains","created":"2024-12-06","cited_by_count":0,"area":null},{"id":"2507.23373","title":"Multi-Prompt Progressive Alignment for Multi-Source Unsupervised Domain Adaptation","created":"2025-07-31","cited_by_count":0,"area":"mllm"},{"id":"2508.12290","title":"CLAIR: CLIP-Aided Weakly Supervised Zero-Shot Cross-Domain Image Retrieval","created":"2025-08-17","cited_by_count":0,"area":null},{"id":"2508.18693","title":"Feature-Space Planes Searcher: A Universal Domain Adaptation Framework for Interpretability and Computational Efficiency","created":"2025-08-26","cited_by_count":0,"area":null},{"id":"2509.11264","title":"Cross-Domain Attribute Alignment with CLIP: A Rehearsal-Free Approach for Class-Incremental Unsupervised Domain Adaptation","created":"2025-09-14","cited_by_count":0,"area":null},{"id":"2509.22229","title":"A Tale of Two Experts: Cooperative Learning for Source-Free Unsupervised Domain Adaptation","created":"2025-09-26","cited_by_count":0,"area":"mllm"},{"id":"2510.22142","title":"Attention Residual Fusion Network with Contrast for Source-free Domain Adaptation","created":"2025-10-25","cited_by_count":0,"area":"distill"},{"id":"2511.05782","title":"TCSA-UDA: Text-Driven Cross-Semantic Alignment for Unsupervised Domain Adaptation in Medical Image Segmentation","created":"2025-11-08","cited_by_count":0,"area":null},{"id":"2602.08730","title":"Closing the Confusion Loop: CLIP-Guided Alignment for Source-Free Domain Adaptation","created":"2026-02-09","cited_by_count":0,"area":null},{"id":"2603.28555","title":"Domain-Invariant Prompt Learning for Vision-Language Models","created":"2026-03-30","cited_by_count":0,"area":"mllm"},{"id":"2605.02604","title":"Rethinking the Need for Source Models: Source-Free Domain Adaptation from Scratch Guided by a Vision-Language Model","created":"2026-05-04","cited_by_count":0,"area":"mllm"},{"id":"2605.28809","title":"AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning","created":"2026-05-27","cited_by_count":0,"area":null},{"id":"2606.29600","title":"One Scene, Two Depths: Probing Geometric Ambiguity in Monocular Foundation Models","created":"2026-06-28","cited_by_count":0,"area":null},{"id":"2607.25563","title":"Few-Shot Open-Vocabulary Remote Sensing Segmentation via Textual Inversion","created":"2026-07-28","cited_by_count":0,"area":null},{"id":"2608.04604","title":"COSMO: Consensus-Driven Shift Modulation for Source-Free Domain Adaptation","created":"2026-08-05","cited_by_count":0,"area":null},{"id":"2608.28145","title":"Dual-Stream Semantic Guidance with Prototype Anchor Calibration for Source-Fully-Free Adaptation of Vision-Language Models","created":"2026-08-28","cited_by_count":0,"area":"mllm"},{"id":"2609.27123","title":"PEARL: A Lightweight Prompt-based Feature Interpreter Framework for Real-Time, Anonymous, and Heterogeneous Collaborative Perception","created":"2026-09-22","cited_by_count":0,"area":null},{"id":"2609.33273","title":"Towards Identifiable Representations under Misspecified Structure","created":"2026-09-27","cited_by_count":0,"area":null}],"next_cursor":null}