2026
Learning Cross-View Object Correspondence via Cycle-Consistent Mask Prediction
CVPR 2026
We study the task of establishing object-level visual correspondence across different viewpoints in videos, focusing on the challenging egocentric-to-exocentric and exocentric-to-egocentric scenarios. We propose a simple yet effective framework based on conditional binary segmentation, where an obje