Open-World Panoptic Segmentation

Name: Open-World Panoptic Segmentation
Uploaded: 2026-10-10T04:52:29.189391+00:00
Duration: 538 s
Description: Con2MAV is a fully convolutional neural network designed for open-world panoptic segmentation, allowing autonomous systems to identify new semantic categories and objects at test time without prior training. It extends previous work by predicting both categories and instances while maintaining consistency among discovered classes, crucial for safe operation in unconstrained real-world scenarios.

Con2MAV is a fully convolutional neural network designed for open-world panoptic segmentation, allowing autonomous systems to identify new semantic categories and objects at test time without prior training. It extends previous work by predicting both categories and instances while maintaining consistency among discovered classes, crucial for safe operation in unconstrained real-world scenarios.

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