ROAD ANALYSIS WITH UNIVERSAL LEARNING

ROAD ANALYSIS WITH UNIVERSAL LEARNING

Methods and systems for training a model include annotating a subset of an unlabeled training dataset, that includes images of road scenes, with labels. A road defect detection model is iteratively trained, including adding pseudo-labels to a remainder of examples from the unlabeled training dataset...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Schulter, Samuel, Chandraker, Manmohan, Garg, Sparsh, Zhuang, Bingbing
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
PHYSICS
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Beschreibung
Zusammenfassung:Methods and systems for training a model include annotating a subset of an unlabeled training dataset, that includes images of road scenes, with labels. A road defect detection model is iteratively trained, including adding pseudo-labels to a remainder of examples from the unlabeled training dataset and training the road defect detection model based on the labels and the pseudo-labels.