Road thrown object detection method based on contrast clustering self-learning

The invention discloses a road thrown object detection method based on contrast clustering self-learning, and the method comprises the steps: constructing a road thrown object detection network model which comprises a feature extraction module, a candidate region module, an unknown label generation...

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Bibliographische Detailangaben
Hauptverfasser: SHAO QIKE, YAN SHIHANG, CHEN LIKANG
Format: Patent
Sprache:chi ; eng
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