Panoramic segmentationExpert
EmbPASS: Towards Cross-Embodiment Open Panoramic Segmentation
The authors introduce EmbPASS, a 1,000-image panoramic semantic segmentation benchmark spanning vehicle, drone, wearable and quadruped platforms, and EPONet, a CLIP-based open-vocabulary segmentation network for cross-embodiment panoramic perception. On EmbPASS, EPONet reaches 35.82% mIoU, 1.10 points above the strongest baseline, and also leads DensePASS. This is a preprint.