1 citations · 2 across the 5 of their papers we have counts for
5 papers
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…
Towards Robust Image Denoising with Scale Equivariance
Dawei Zhang, Xiaojie Guo
Despite notable advances in image denoising, existing models often struggle to generalize beyond in-distribution noise patterns, particularly when confronted with out-of-distributi…
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…
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…
Practical Video Object Detection via Feature Selection and Aggregation
Yuheng Shi, Tong Zhang, Xiaojie Guo
Compared with still image object detection, video object detection (VOD) needs to particularly concern the high across-frame variation in object appearance, and the diverse deterio…