most citedHaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial Environments

3 citations · 3 across the 1 of their papers we have counts for

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1 paper

cs.HC2023★ 3 cited

HaDR: Applying Domain Randomization for Generating Synthetic Multimodal Dataset for Hand Instance Segmentation in Cluttered Industrial Environments

Stefan Grushko, Aleš Vysocký, Jakub Chlebek +1

This study uses domain randomization to generate a synthetic RGB-D dataset for training multimodal instance segmentation models, aiming to achieve colour-agnostic hand localization…