OA: 91.71mIoU: 60.30
Papers with Code · CC BY-SA 4.0
3D Semantic Segmentation
3D Semantic Segmentation is a computer vision task that involves dividing a 3D point cloud or 3D mesh into semantically meaningful parts or regions. The goal of 3D semantic segmentation is to identify and label different objects and parts within a 3D scene, which can be used for applications such as robotics, autonomous driving, and augmented reality.
논문
val mIoU: 25.0test mIoU: 25.3
val mIoU: 40.3test mIoU: 41.4
val mIoU: 37.3test mIoU: 36.0
mIoU: 67.4Overall Accuracy: 97.2Model size: 4.7M
val mIoU: 41.2test mIoU: 44.9
mIoU: 79.6Overall Accuracy: 97.5Model size: 212K
val mIoU: 26.4test mIoU: 24.9
mIoU: 79.6
mIoU: 81.1Overall Accuracy: 97.8Model size: 14M
val mIoU: 28.8test mIoU: 27.2
mIoU: 60.6Overall Accuracy: 95.5Model size: 280K
val mIoU: 33.1
val mIoU: 33.3test mIoU: 32.3
val mIoU: 32.6test mIoU: 32.5
val mIoU: 40.5test mIoU: 36.8
val mIoU: 30.1
val mIoU: 36.3test mIoU: 37.1
val mIoU: 36.0test mIoU: 39.3
mIoU: 68.3Overall Accuracy: 95.7Model size: 3.0M
val mIoU: 32.3test mIoU: 34.6
OA: 93.50mIoU: 68.40
mIoU: 77.3Model size: 210M
OA: 95.50mIoU: 73.60
val mIoU: 36.8
val mIoU: 31.9test mIoU: 33.2