Full Professor, Huazhong University of Science and Technology
4 papers at NeurIPS 2025
We propose a Continual Gaussian Mixture Distribution (CoGaMiD) modeling method for class incremental semantic segmentation.
Our proposed RH-Partial2Global adopts a jackknife conformal prediction-guided selection strategy to construct reliable alternative sets and a covering design-based sampling strategy to ensure holistic coverage of local pairwise preferences.