Part Segmentation - Groups

ShapeNet Parts

ShapeNet Parts is a dataset for part segmentation of 3D shapes.

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ShapeNet part dataset

The ShapeNet part dataset contains 16,881 shapes from 16 classes and 50 parts in total.

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PartNet

The PartNet dataset is a large-scale benchmark for 3D object recognition and retrieval. It consists of 527 objects composed of 2690 parts, which can be composited into a...

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PartImageNet and Pascal Part datasets

PartImageNet and Pascal Part datasets for few-shot part segmentation.

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PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning

Few-shot part segmentation using few-shot support images and pre-trained image-language model CLIP.

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PASCAL-Part

PASCAL-Part is a dataset for semantic part segmentation. It contains images of cars and horses with annotated part segmentation masks.

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ScanObjectNN

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...

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ShapeNetPart

The dataset used in the paper is ShapeNetPart, a synthetic dataset for 3D object part segmentation. It contains 16,881 models from 16 categories.

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8 datasets found