5 citations · 6 across the 3 of their papers we have counts for
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cs.CV2025
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…
cs.CV2024★ 1 cited
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…
cs.CV2024★ 5 cited
Phrase Grounding-based Style Transfer for Single-Domain Generalized Object Detection
Hao Li, Wei Wang, Cong Wang +4
Single-domain generalized object detection aims to enhance a model's generalizability to multiple unseen target domains using only data from a single source domain during training.…