With tremendous advancements in low-power embedded computing devices and remote
sensing instruments, the traditional satellite image processing pipeline which includes an …

Dense panoptic prediction is a key ingredient in many existing applications such as
autonomous driving, automated warehouses, or remote sensing. Many of these applications …

Panoptic segmentation, combining instance and semantic segmentation, provides
comprehensive image understanding for various tasks. Achieving real-time performance …

Satellite remote sensing images contain complex and diverse ground object information and
the images exhibit spatial multi-scale characteristics, making the panoptic segmentation of …

Panoptic segmentation combines instance and semantic predictions, allowing the detection
of countable objects and different backgrounds simultaneously. Effectively approaching …

Panoptic segmentation requires the prediction of a pixel-level mask with a category label in
an image. In recent years, panoptic segmentation has been gaining more attention since it …

How to properly reduce the annotation cost for panoptic segmentation? How to leverage and
optimize the cost-quality trade-off for training data and model? These questions are key …

Panoptic segmentation aims to generate coherent scene segmentation by unifying semantic
segmentation and instance segmentation, which is one of the important tasks in the scene …

To address the suboptimal performance of current panoptic segmentation models in remote
sensing image processing, this paper presents RS DINO (Remote Sensing Mask DETR with …

Panoptic segmentation has recently received increasing attention since it generates
coherent scene segmentation by unifying semantic and instance segmentation. The most …