Segmentation of unknown occluded object using a hierarchical model with UOAIS
Segmentation of unknown occluded object using a hierarchical model with UOAIS
Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling
arXiv paper abstract https://arxiv.org/abs/2109.11103
arXiv PDF paper https://arxiv.org/pdf/2109.11103.pdf
Instance-aware segmentation of unseen objects is essential for a robotic system in an unstructured environment.
Although previous works achieved encouraging results, they were limited to segmenting the only visible regions of unseen objects.
... paper addresses Unseen Object Amodal Instance Segmentation (UOAIS) to detect 1) visible masks, 2) amodal masks, and 3) occlusions on unseen object instances.
... propose a Hierarchical Occlusion Modeling (HOM) scheme designed to reason about the occlusion by assigning a hierarchy to a feature fusion and prediction order.
... evaluated ... method on three benchmarks (tabletop, indoors, and bin environments) and achieved state-of-the-art (SOTA) performance. ...
Please like and share this post if you enjoyed it using the buttons at the bottom!
Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact
Web site with my other posts by category https://morrislee1234.wixsite.com/website
LinkedIn https://www.linkedin.com/in/morris-lee-47877b7b
#ComputerVision #Segmentation #AINewsClips #AI #ML #ArtificialIntelligence #MachineLearning
Comments