Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

ECCV 2020 Zhenbo XuWei ZhangXiao TanWei YangHuan HuangShilei WenErrui DingLiusheng Huang

Current multi-object tracking and segmentation (MOTS) methods follow the tracking-by-detection paradigm and adopt convolutions for feature extraction. However, as affected by the inherent receptive field, convolution based feature extraction inevitably mixes up the foreground features and the background features, resulting in ambiguities in the subsequent instance association... (read more)

PDF Abstract ECCV 2020 PDF ECCV 2020 Abstract

Results from the Paper

  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods used in the Paper