完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.author | Hung, Shang-Wei | en_US |
dc.contributor.author | Lo, Shao-Yuan | en_US |
dc.contributor.author | Hang, Hsueh-Ming | en_US |
dc.date.accessioned | 2020-05-05T00:01:59Z | - |
dc.date.available | 2020-05-05T00:01:59Z | - |
dc.date.issued | 2019-01-01 | en_US |
dc.identifier.isbn | 978-1-5386-6249-6 | en_US |
dc.identifier.issn | 1522-4880 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/154046 | - |
dc.description.abstract | Semantic segmentation has made encouraging progress due to the success of deep convolutional networks in recent years. Meanwhile, depth sensors become prevalent nowadays; thus, depth maps can be acquired more easily. However, there are few studies that focus on the RGB-D semantic segmentation task. Exploiting the depth information effectiveness to improve performance is a challenge. In this paper, we propose a novel solution named LDFNet, which incorporates Luminance, Depth and Color information by a fusion-based network. It includes a sub-network to process depth maps and employs luminance images to assist the depth information in processes. LDFNet outperforms the other state-of-art systems on the Cityscapes dataset, and its inference speed is faster than most of the existing networks. The experimental results show the effectiveness of the proposed multi-modal fusion network and its potential for practical applications. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | RGB-D semantic segmentation | en_US |
dc.subject | depth map | en_US |
dc.subject | illuminance | en_US |
dc.subject | fusion-based network | en_US |
dc.title | INCORPORATING LUMINANCE, DEPTH AND COLOR INFORMATION BY A FUSION-BASED NETWORK FOR SEMANTIC SEGMENTATION | en_US |
dc.type | Proceedings Paper | en_US |
dc.identifier.journal | 2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | en_US |
dc.citation.spage | 2374 | en_US |
dc.citation.epage | 2378 | en_US |
dc.contributor.department | 交大名義發表 | zh_TW |
dc.contributor.department | 電子工程學系及電子研究所 | zh_TW |
dc.contributor.department | National Chiao Tung University | en_US |
dc.contributor.department | Department of Electronics Engineering and Institute of Electronics | en_US |
dc.identifier.wosnumber | WOS:000521828602098 | en_US |
dc.citation.woscount | 0 | en_US |
顯示於類別: | 會議論文 |