CompleteInst: An Efficient Instance Segmentation Network for Missed Detection Scene of Autonomous Driving
Hai Wang,
Shilin Zhu,
Long Chen
et al.
Abstract:As a fundamental computer vision task, instance segmentation is widely used in the field of autonomous driving because it can perform both instance-level distinction and pixel-level segmentation. We propose CompleteInst based on QueryInst as a solution to the problems of missed detection with a network structure designed from the feature level and the instance level. At the feature level, we propose Global Pyramid Networks (GPN) to collect global information of missed instances. Then, we introduce the semantic… Show more
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