SHAPE CONSTRUCTION-BASED MACHINE LEARNING MODEL FOR OBJECT LOCALIZATION

Methods and systems for training a model include performing two-dimensional object detection on a training image to identify an object. The training image is cropped around the object. A category-level shape reconstruction is generated using a neural radiance field model. A normalized coordinate mod...

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Bibliographische Detailangaben
Hauptverfasser: Liu, Buyu, Schulter, Samuel, Min, Zhixiang, Zhuang, Bingbing
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:Methods and systems for training a model include performing two-dimensional object detection on a training image to identify an object. The training image is cropped around the object. A category-level shape reconstruction is generated using a neural radiance field model. A normalized coordinate model is trained using the training image and ground truth information from the category-level shape reconstruction.