mAP: 15.9AP50: 20.6AP25: 23.3AP Head: 19.2
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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.
논문
mAP: 23.7AP50: 29.4AP25: 32.8AP Head: 27.8
mAP: 24.7AP50: 31.7AP25: 36.2AP Head: 27.8
mAP: 15.4AP50: 19.9AP25: 23.1AP Head: 17.1
mAP: 25.8AP Head: 27.4AP Common: 23.8AP Tail: 26.4
AP50 Base B8/N4 : 58.7AP50 Novel B8/N4: 13.8AP50 Base B6/N6: 51.8AP50 Novel B6/N6: 15.8
mAP: 10.9
mAP: 11.1
AP50 Base B8/N4 : 59.0AP50 Novel B8/N4: 8.6AP50 Base B6/N6: 46.9AP50 Novel B6/N6: 9.8
AP50: 03.1
AP50: 02.6