Subjects : Fully Convolutional Networks (FCN)
| Type | Year | Title | Cited | Download |
|---|---|---|---|---|
| Journal | 2021 | Real-Time Hair Segmentation Using Mobile-Unet Yoon Ho Sub Electronics, v.10, no.2, pp.1-12 | 21 | 원문 |
| Conference | 2020 | Infant abnormal behavior classification through weakly supervised learning Ye Jin Lee International Conference on Intelligent Robots and Systems (IROS) 2020, pp.12118-12121 | ||
| Journal | 2019 | An Energy-Efficient Method for Human Activity Recognition with Segment-Level Change Detection and Deep Learning Jeong Chi Yoon Sensors, v.19, no.17, pp.1-16 | 19 | 원문 |
| Conference | 2018 | Activity Recognition using Fully Convolutional Network from Smartphone Accelerometer Kim Moo Seop International Conference on Information and Communication Technology Convergence (ICTC) 2018, pp.1482-1484 | 14 | 원문 |
| Status | Year | Patent Name | Country | Family Pat. | KIPRIS |
|---|---|---|---|---|---|
| No search results. | |||||
| Type | Year | Research Project | Primary Investigator | Download |
|---|---|---|---|---|
| No search results. | ||||