most citedDeep Learning based Food Instance Segmentation using Synthetic Data

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

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…

cs.LG2019

Intra- and Inter-epoch Temporal Context Network (IITNet) Using Sub-epoch Features for Automatic Sleep Scoring on Raw Single-channel EEG

Hogeon Seo, Seunghyeok Back, Seongju Lee +3

A deep learning model, named IITNet, is proposed to learn intra- and inter-epoch temporal contexts from raw single-channel EEG for automatic sleep scoring. To classify the sleep st…