Domain Adaptation

Anchor-based Robust Finetuning of Vision-Language Models CVPR 2024 An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain AAAI 2024 An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains CVPR 2024 A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NeurIPS 2024 A Versatile Framework for Continual Test-Time Domain Adaptation: Balancing Discriminability and Generalizability CVPR 2024 Blur2Blur: Blur Conversion for Unsupervised Image Deblurring on Unknown Domains CVPR 2024 BoostAdapter: Improving Vision-Language Test-Time Adaptation via Regional Bootstrapping NeurIPS 2024 Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment CVPR 2024 Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction EMNLP 2024 Characterizing Stereotypical Bias from Privacy-preserving Pre-Training ACL 2024 Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NeurIPS 2024 Cloud Object Detector Adaptation by Integrating Different Source Knowledge NeurIPS 2024 CMDA: Cross-Modal and Domain Adversarial Adaptation for LiDAR-Based 3D Object Detection AAAI 2024 Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval AAAI 2024 Compound Text-Guided Prompt Tuning via Image-Adaptive Cues AAAI 2024 Connectivity-Driven Pseudo-Labeling Makes Stronger Cross-Domain Segmenters NeurIPS 2024 Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation CVPR 2024 D3T: Distinctive Dual-Domain Teacher Zigzagging Across RGB-Thermal Gap for Domain-Adaptive Object Detection CVPR 2024 DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs EMNLP 2024 DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract) AAAI 2024 Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds CVPR 2024 DiPrompT: Disentangled Prompt Tuning for Multiple Latent Domain Generalization in Federated Learning CVPR 2024 Discovering and Mitigating Visual Biases through Keyword Explanation CVPR 2024 Discriminative Pattern Calibration Mechanism for Source-Free Domain Adaptation CVPR 2024 Dissecting the Failure of Invariant Learning on Graphs NeurIPS 2024