Segment areas, objects, and parts in a scene at the same time with JPPF

Segment areas, objects, and parts in a scene at the same time with JPPF

JPPF: Multi-task Fusion for Consistent Panoptic-Part Segmentation
arXiv paper abstract https://arxiv.org/abs/2311.18618
arXiv PDF paper https://arxiv.org/pdf/2311.18618.pdf

Part-aware panoptic segmentation is a problem of computer vision that aims to provide a semantic understanding of the scene at multiple levels of granularity.

More precisely, semantic areas, object instances, and semantic parts are predicted simultaneously.

… present … Joint Panoptic Part Fusion (JPPF) that combines the three individual segmentations effectively to obtain a panoptic-part segmentation.

Two aspects are of utmost importance for this: First, a unified model for the three problems is desired that allows for mutually improved and consistent representation learning.

Second, balancing the combination so that it gives equal importance to all individual results during fusion … proposed JPPF is parameter-free and dynamically balances its input.

… experiments, … verify the importance of … fair fusion, highlight its most significant impact for areas that can be further segmented into parts …

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