Hexin Bai

2 accepted papers

2021

GMOT-40: A Benchmark for Generic Multiple Object Tracking

Hexin Bai, Wensheng Cheng, Peng Chu, Juehuan Liu, Kai Zhang, Haibin Ling

CVPR 2021poster

Multiple Object Tracking (MOT) has witnessed remarkable advances in recent years. However, existing studies dominantly request prior knowledge of the tracking target (eg, pedestrians), and hence may not generalize well to unseen categories. In contrast, Generic Multiple Object Tracking (GMOT), which…

Cited by 53 PDF ↗code ↗Scholar ↗

2019

LaSOT: A High-Quality Benchmark for Large-Scale Single Object Tracking

Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu +4

CVPR 2019poster

In this paper, we present LaSOT, a high-quality benchmark for Large-scale Single Object Tracking. LaSOT consists of 1,400 sequences with more than 3.5M frames in total. Each frame in these sequences is carefully and manually annotated with a bounding box, making LaSOT the largest, to the best of our…

Cited by 1750 PDF ↗Scholar ↗