In this article, we take a look at how the robots see the world around them, what it takes to train them for deployment, and how they might change the manufacturing landscape..
Abstract: Camouflaged Object Segmentation (COS) faces significant challenges due to the scarcity of annotated data, where meticulous pixel-level annotation is both labor-intensive and costly, ...
Abstract: Weakly annotated object segmentation for remote sensing images (RSIs) has attracted lots of attention due to its low labeling costs. However, annotating a huge amount of multiclass RSIs with ...
The initial use-case is aerial video annotation of traffic, supported by the use of ASAM OpenLabel output and a traffic-focused default ontology. Note This open source project is maintained by RISE ...
A Helm chart for deploying krakend.io in Kubernetes. configMap-based: the configuration is stored in a configMaps and mounted in the container. all-in-one image: the configuration is stored in the ...
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