April 9, 2024, 4:46 a.m. | Danpei Zhao, Bo Yuan, Ziqiang Chen, Tian Li, Zhuoran Liu, Wentao Li, Yue Gao

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.04608v1 Announce Type: new
Abstract: Current remote-sensing interpretation models often focus on a single task such as detection, segmentation, or caption. However, the task-specific designed models are unattainable to achieve the comprehensive multi-level interpretation of images. The field also lacks support for multi-task joint interpretation datasets. In this paper, we propose Panoptic Perception, a novel task and a new fine-grained dataset (FineGrip) to achieve a more thorough and universal interpretation for RSIs. The new task, 1) integrates pixel-level, instance-level, and …

abstract arxiv cs.ai cs.cv current dataset datasets detection fine-grained focus however image images interpretation novel perception remote-sensing segmentation sensing support type universal

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