Disentangling-3D-Prototypical-Nets. We present neural architectures that disentangle RGB-D images into objects' shapes and styles and a map of the background scene, and explore their applications for few-shot 3D object detection and few-shot concept classification.

github.com/mihirp1998/Disentangling-3D-Prototypical-Nets

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