5 datasets found

The dataset used in the paper is not explicitly described, but it is mentioned that the authors tested their model on various signal reconstruction tasks: 1D sinusoidal...

The Gibson dataset is used to train DRL agents for visual navigation. The dataset consists of RGB images and depth maps of indoor environments.

Stanford 3D Scanning dataset is a large-scale dataset of 3D scans of various objects.

Zero-shot learning (ZSL) aims to classify objects that are not observed or seen during training. It relies on class semantic description to transfer knowledge from the seen...

Google Scanned Objects is a real-scanned 3D object dataset and we use all its 1030 samples for evaluation unlike existing works [29, 31] that only use 30 of them.