2 papers
cs.LG2026
Stochastic Order Learning: An Approach to Rank Estimation Using Noisy Data
Chaewon Lee, Seon-Ho Lee, Chang-Su Kim
Rank estimation under label noise poses a fundamental challenge, as ordinal annotations often exhibit structured uncertainty rather than simple label corruption. In this paper, we…
cs.CV2024
MFP: Making Full Use of Probability Maps for Interactive Image Segmentation
Chaewon Lee, Seon-Ho Lee, Chang-Su Kim
In recent interactive segmentation algorithms, previous probability maps are used as network input to help predictions in the current segmentation round. However, despite the utili…