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)

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