2 papers
cs.CV2025
Multiplicative Loss for Enhancing Semantic Segmentation in Medical and Cellular Images
Yuto Yokoi, Kazuhiro Hotta
We propose two novel loss functions, Multiplicative Loss and Confidence-Adaptive Multiplicative Loss, for semantic segmentation in medical and cellular images. Although Cross Entro…
econ.TH2025
Two-Sided Fairness in Many-to-One Matching
Ayumi Igarashi, Naoyuki Kamiyama, Yasushi Kawase +3
We consider a classic many-to-one matching setting, where participants need to be assigned to teams based on the preferences of both sides. Unlike most of the matching literature,…