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Datasets/3RScan

3RScan

A novel dataset and benchmark, which features 1482 RGB-D scans of 478 environments across multiple time steps. Each scene includes several objects whose positions change over time, together with ground truth annotations of object instances and their respective 6DoF mappings among re-scans.

Source: RIO: 3D Object Instance Re-Localization in Changing Indoor Environments

Benchmarks

16k/mAP@0.25 16k/mAP@0.5 2D Classification/mAP@0.25 2D Classification/mAP@0.5 2D Object Detection/mAP@0.25 2D Object Detection/mAP@0.5 3D/mAP@0.25 3D/mAP@0.5 3D Object Detection/mAP@0.25 3D Object Detection/mAP@0.5 3D Point Cloud Interpolation/CD 3D Point Cloud Interpolation/RRE 3D Point Cloud Interpolation/RTE Object Detection/mAP@0.25 Object Detection/mAP@0.5 Point Cloud Registration/CD Point Cloud Registration/RRE Point Cloud Registration/RTE

Statistics

Papers: 44
Benchmarks: 18

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Tasks

16k 2D Classification 2D Object Detection 3D 3D Object Classification 3D Object Detection 3D Point Cloud Interpolation 3D Semantic Segmentation Object Detection Point Cloud Registration Predicate Classification Scene Change Detection Scene Graph Generation Scene Understanding Semantic Segmentation