Najmul Hassan — accepted AI-conference papers

2022

Object Localization Under Single Coarse Point Supervision

Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan +3

CVPR 2022poster

Point-based object localization (POL), which pursues high-performance object sensing under low-cost data annotation, has attracted increased attention. However, the point annotation mode inevitably introduces semantic variance for the inconsistency of annotated points. Existing POL methods heavily r…

Cited by 33 PDF ↗code ↗Scholar ↗

2022

Point-to-Box Network for Accurate Object Detection via Single Point Supervision

Pengfei Chen, Xuehui Yu, Xumeng Han, Najmul Hassan, Kai Wang, Jiachen Li +4

ECCV 2022poster

"Object detection using single point supervision has received increasing attention over the years. However, the performance gap between point supervised object detection (PSOD) and bounding box supervised detection remains large. In this paper, we attribute such a large performance gap to the failur…

Cited by 64 Source ↗PDF ↗code ↗Scholar ↗