Throssed object anomaly detection method based on Vit network heuristic self-supervised training

The invention discloses a thrown object anomaly detection method based on Vit network heuristic self-supervised training. The method comprises the following steps: obtaining a highway thrown object data set, carrying out self-supervised training of a Vit network, building a dichotomy network by usin...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	LEE KUN WOO, JIANG RUWEN
Format:	Patent
Sprache:	chi ; eng
Schlagworte:	CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING COUNTING PHYSICS
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