Saliency detection with multi-contextual models and spatially coherent loss function

Po Sheng Huang, Chin Han Shen, Hsu-Feng Hsiao

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

We have proposed a multi-contextual model architecture with color and depth information considered independently in this work. To utilize the feature maps of different levels better, short connection structures are used to integrate the knowledge from color and depth data separately. A novel loss function considering three criteria is proposed to improve the detection accuracy and spatial coherence of the detected results. The training process of the proposed network is divided into two stages, a pre-training phase and a refinement phase to increase the efficiency of the network.

原文American English
主出版物標題2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Proceedings
發行者Institute of Electrical and Electronics Engineers Inc.
ISBN(電子)9781728103976
DOIs
出版狀態Published - 2019
事件2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019 - Sapporo, Japan
持續時間: 26 5月 201929 5月 2019

出版系列

名字Proceedings - IEEE International Symposium on Circuits and Systems
2019-May
ISSN(列印)0271-4310

Conference

Conference2019 IEEE International Symposium on Circuits and Systems, ISCAS 2019
國家/地區Japan
城市Sapporo
期間26/05/1929/05/19

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