Adversarial Diffusion Model for Unsupervised Domain-Adaptive Semantic Segmentationby Jongmin Yu, Zhongtian Sun, Shan LuoFirst submitted…
Bridge then Begin Anew: Generating Target-relevant Intermediate Model for Source-free Visual Emotion Adaptationby Jiankun Zhu,…
AH-OCDA: Amplitude-based Curriculum Learning and Hopfield Segmentation Model for Open Compound Domain Adaptationby Jaehyun Choi,…
LLMs4Life: Large Language Models for Ontology Learning in Life Sciencesby Nadeen Fathallah, Steffen Staab, Alsayed…
A Study on Unsupervised Domain Adaptation for Semantic Segmentation in the Era of Vision-Language Modelsby…
DRIVE: Dual-Robustness via Information Variability and Entropic Consistency in Source-Free Unsupervised Domain Adaptationby Ruiqiang Xiao,…
AGLP: A Graph Learning Perspective for Semi-supervised Domain Adaptationby Houcheng Su, Mengzhu Wang, Jiao Li,…
Recall and Refine: A Simple but Effective Source-free Open-set Domain Adaptation Frameworkby Ismail Nejjar, Hao…
Feature Fusion Transferability Aware Transformer for Unsupervised Domain Adaptationby Xiaowei Yu, Zhe Huang, Zao ZhangFirst…
Cross-Domain Transfer Learning using Attention Latent Features for Multi-Agent Trajectory Predictionby Jia Quan Loh, Xuewen…