GitHub

Reproducing Panoptic Seg 100-5 results

I recently tried to train the Panoptic Segmentation setting for ADE20K for the 100-5 setting. The following command I used to train the model was python train ...
IEEE

Exploiting the Benefits of Temporal Information in the Realm of LiDAR Panoptic Segmentation

Abstract: LiDAR perception for autonomous driving applications offers highly accurate scene depiction in three-dimensional (3D) spaces, whose most representative task is LiDAR panoptic segmentation ...
GitHub

Training dataest ratio and Panoptic segmentation reproduce

Likewise, InstructSeg followed this training dataset ratio: ref_coco : mm_conv : ref_vos : reason : reason_vos = 4 : 2 : 4 : 1 : 3 The main reason for this question is that I couldn't reproduce the 61 ...
IEEE

LiDAR and Camera Fusion for Joint Depth Completion and Panoptic Segmentation Tasks in a Unified Network for 3D Semantic Segmentation

Abstract: Autonomous driving relies heavily on advanced perception systems built on multi-sensor fusion, including LiDAR, cameras, GPS, and IMU. Among these, LiDAR is particularly valuable for ...