Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection

1 code implementation • CVPR 2023 • Chang Liu, Weiming Zhang, Xiangru Lin, Wei zhang, Xiao Tan, Junyu Han, Xiaomao Li, Errui Ding, Jingdong Wang

It employs a "divide-and-conquer" strategy and separately exploits positives for the classification and localization task, which is more robust to the assignment ambiguity.

Dense Object Detection Object +3

Policy Learning for Optimal Individualized Dose Intervals

no code implementations • 24 Feb 2022 • Guanhua Chen, Xiaomao Li, Menggang Yu

In this paper, we propose a new method to estimate such an optimal dose interval, named probability dose interval (PDI).