3 papers
cs.CV2026
Neural Architecture Distributions: A New Paradigm for Stochastic Segmentation
Conghui Li, Junhao Huang, Chern Hong Lim +2
Stochastic segmentation seeks to represent multiple plausible masks for a single image, which is essential in safety- and quality-critical applications such as medical imaging or b…
cs.CV2026
UnGAP: Uncertainty-Guided Affine Prompting for Real-Time Crack Segmentation
Conghui Li, Huanyu He, Xin Wang +2
Real-time crack segmentation is vital for structural health monitoring but is plagued by aleatoric uncertainties arising from varying lighting, blur, and texture ambiguity. Current…
cs.CV2025
MCA: 2D-3D Retrieval with Noisy Labels via Multi-level Adaptive Correction and Alignment
Gui Zou, Chaofan Gan, Chern Hong Lim +2
With the increasing availability of 2D and 3D data, significant advancements have been made in the field of cross-modal retrieval. Nevertheless, the existence of imperfect annotati…