SOTAVerified

3D Open-Vocabulary Instance Segmentation

Open-vocabulary 3D instance segmentation is a computer vision task that involves identifying and delineating individual objects or instances within a three-dimensional (3D) scene without prior knowledge of a fixed set of object classes or categories. In other words, it extends traditional instance segmentation to a scenario where the number and types of objects present in the 3D environment are not predefined or limited to a specific vocabulary.

Papers

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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Open-YOLO 3DmAP23.7—Unverified
2OpenIns3D (with rgbd)mAP21.1—Unverified
3Open3DISmAP18.1—Unverified
4OpenIns3DmAP15.4—Unverified
5OpenMask3DmAP13.1—Unverified
6OVIR-3DmAP11.1—Unverified
7OpenScene + Mask3DmAP10.9—Unverified
#ModelMetricClaimedVerifiedStatus
1Any3DISmAP25.8—Unverified
2Open-YOLO 3DmAP24.7—Unverified
3Open3DISmAP23.7—Unverified
4OpenIns3DmAP15.9—Unverified
5OpenMask3DmAP15.4—Unverified
6OpenIns3D (3d only)mAP8.8—Unverified
#ModelMetricClaimedVerifiedStatus
1Open3DISAP50 Base B8/N4 60.8—Unverified
2PLAAP50 Base B8/N4 59—Unverified
3Lowis3DAP50 Base B8/N4 58.7—Unverified
4OpenIns3DAP50 Novel B8/N437—Unverified
#ModelMetricClaimedVerifiedStatus
1OPENINS3DAP5013.3—Unverified
2PointCLIPV2AP503.1—Unverified
3PointCLIPAP502.6—Unverified