4 papers
Let Synthetic Data Shine: Domain Reassembly and Soft-Fusion for Single Domain Generalization
Hao Li, Yubin Xiao, Ke Liang +4
Single Domain Generalization (SDG) aims to train models that maintain consistent performance across diverse scenarios using data from a single source. While latent diffusion models…
FOUND: Fourier-based von Mises Distribution for Robust Single Domain Generalization in Object Detection
Mengzhu Wang, Changyuan Deng, Shanshan Wang +3
Single Domain Generalization (SDG) for object detection aims to train a model on a single source domain that can generalize effectively to unseen target domains. While recent metho…
TransMedSeg: A Transferable Semantic Framework for Semi-Supervised Medical Image Segmentation
Mengzhu Wang, Jiao Li, Shanshan Wang +4
Semi-supervised learning (SSL) has achieved significant progress in medical image segmentation (SSMIS) through effective utilization of limited labeled data. While current SSL meth…
Object Style Diffusion for Generalized Object Detection in Urban Scene
Hao Li, Xiangyuan Yang, Mengzhu Wang +4
Object detection is a critical task in computer vision, with applications in various domains such as autonomous driving and urban scene monitoring. However, deep learning-based app…