2 papers
cs.CV2025
MSSSeg: Learning Multi-Scale Structural Complexity for Self-Supervised Segmentation
Haotang Li, Zhenyu Qi, Hao Qin +4
Self-supervised semantic segmentation methods often suffer from structural errors, including merging distinct objects or fragmenting coherent regions, because they rely primarily o…
cs.CV2024
PhysDepth: Plug-and-Play Physical Refinement for Monocular Depth Estimation in Challenging Environments
Kebin Peng, Haotang Li, Zhenyu Qi +6
State-of-the-art monocular depth estimation (MDE) models often struggle in challenging environments, primarily because they overlook robust physical information. To demonstrate thi…