4 citations · 7 across the 6 of their papers we have counts for
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cs.RO2021
Unseen Object Amodal Instance Segmentation via Hierarchical Occlusion Modeling
Seunghyeok Back, Joosoon Lee, Taewon Kim +4
Instance-aware segmentation of unseen objects is essential for a robotic system in an unstructured environment. Although previous works achieved encouraging results, they were limi…
cs.CV2021★ 2 cited
Deep Learning based Food Instance Segmentation using Synthetic Data
D. Park, J. Lee, K. Lee
In the process of intelligently segmenting foods in images using deep neural networks for diet management, data collection and labeling for network training are very important but…