SOTAVerified

4D Panoptic Segmentation

4D Panoptic Segmentation is a computer vision task that extends video panoptic segmentation to point cloud sequences. That is, given a point cloud sequence, the goal is to predict the semantic class of each point while consistently tracking object instances. Here, the points belonging to the same object instance should be assigned the same instance ID throughout the point cloud sequence. LSTQ metric is used to evaluate the performance of this task. Video credit: Mask4Former

Papers

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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Mask4FormerLSTQ68.4—Unverified
2Eq-4D-StOPLSTQ67.8—Unverified
3Mask4DLSTQ64.3—Unverified
44D-StOPLSTQ63.9—Unverified
5CIALSTQ63.1—Unverified
64D-DS-NetLSTQ62.3—Unverified
74D-PLSLSTQ56.9—Unverified