2 papers
cs.CV2026
Dense Point-to-Mask Optimization with Reinforced Point Selection for Crowd Instance Segmentation
Hongru Chen, Jiyang Huang, Jia Wan +1
Crowd instance segmentation is a crucial task with a wide range of applications, including surveillance and transportation. Currently, point labels are common in crowd datasets, wh…
cs.CV2026
Exclusivity-Guided Mask Learning for Semi-Supervised Crowd Instance Segmentation and Counting
Jiyang Huang, Hongru Chen, Hongru Cheng +3
Semi-supervised crowd analysis is a prominent area of research, as unlabeled data are typically abundant and inexpensive to obtain. However, traditional point-based annotations con…