Abstract: Deep learning-based surface defect segmentation approaches have shown promising performance in recent years. However, segmenting defects with complex shapes, large variations in size, and ...
We discuss semantic agreement, cases in which agreement between a head and a DP seems to drive, or be driven by, interpretive properties of this DP rather than its syntactic properties. This ...
Abstract: Semantic segmentation is critical in remote sensing applications such as urban planning, disaster management, and environmental monitoring. However, segmenting complex satellite images ...
We release COCO-Videos, a new dataset for instance and panoptic segmentation which follows the COCO labeling format. We also rely on semantic-level labels in the KITTI-STEP dataset for evaluation on ...
Where Microsoft promises enterprises better understanding of their data for workers and autonomous agents alike, analysts fear deployment hurdles and vendor lock-in. With Fabric IQ, Microsoft is ...
This research will show an innovative method useful in the segmentation of polyps during the screening phases of colonoscopies. To do this we have adopted a new approach which consists in merging the ...
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