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cs.CV2026
A Unified Variational Framework for Deep Weakly Supervised Image Segmentation
Yin King Chu, Lingfeng Li, Sung Ha Kang +2
We propose a unified variational framework for image segmentation under sparse pixel-level supervision. Our method is based on a simplex-constrained Potts model with a smooth perim…
cs.CV2024
Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation
Kehui Zhang, Lingfeng Li, Hao Liu +2
Shape compactness is a key geometrical property to describe interesting regions in many image segmentation tasks. In this paper, we propose two novel algorithms to solve the introd…