Abstract: Multi-modal few-shot semantic segmentation (FSS) aims to perform dense prediction from multiple modality images including visible image, depth image, and thermal image with a few annotated ...
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 ...
The history of the semantic hacking project and the lessons it teaches for modern cognitive security
The Semantic Hacking Project ran from 2001 to 2003. It focused on how information systems (and the human decisions shaped by them) could be exploited through attacks not on code or infrastructure, but ...
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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