3 papers
cs.CV2025
Multi-Granularity Feature Calibration via VFM for Domain Generalized Semantic Segmentation
Xinhui Li, Xiaojie Guo
Domain Generalized Semantic Segmentation (DGSS) aims to improve the generalization ability of models across unseen domains without access to target data during training. Recent adv…
cs.CV2025
Set Pivot Learning: Redefining Generalized Segmentation with Vision Foundation Models
Xinhui Li, Xinyu He, Qiming Hu +1
In this paper, we introduce, for the first time, the concept of Set Pivot Learning, a paradigm shift that redefines domain generalization (DG) based on Vision Foundation Models (VF…
cs.CV2024
Differential Alignment for Domain Adaptive Object Detection
Xinyu He, Xinhui Li, Xiaojie Guo
Domain adaptive object detection (DAOD) aims to generalize an object detector trained on labeled source-domain data to a target domain without annotations, the core principle of wh…