2 papers
cs.CV2024
Generalize or Detect? Towards Robust Semantic Segmentation Under Multiple Distribution Shifts
Zhitong Gao, Bingnan Li, Mathieu Salzmann +1
In open-world scenarios, where both novel classes and domains may exist, an ideal segmentation model should detect anomaly classes for safety and generalize to new domains. However…
cs.CV2023
Gradient-Map-Guided Adaptive Domain Generalization for Cross Modality MRI Segmentation
Bingnan Li, Zhitong Gao, Xuming He
Cross-modal MRI segmentation is of great value for computer-aided medical diagnosis, enabling flexible data acquisition and model generalization. However, most existing methods hav…