https://scholars.lib.ntu.edu.tw/handle/123456789/640569
Title: | Saliency and Detail Map Interactive Model for Salient Region Detection | Authors: | Huang, Yu Yao JIAN-JIUN DING Hua, Shiang Chih |
Keywords: | body map | detail map | edge map | salient object detection | Issue Date: | 1-Jan-2023 | Source: | 2023 IEEE International Conference on Visual Communications and Image Processing, VCIP 2023 | Abstract: | Salient object detection (SOD) is a preprocessing step for several computer vision techniques, including visual tracking, image captioning, image segmentation, and so on. In this work, several techniques are adopted to improve the accuracy of SOD. Instead of directly using edge maps as guidance, we improve the adaptive two-stream encoder by employing a clever technique to generate body maps and detail maps, which can provide much information for the final predictions. Regarding body maps and detail maps, different parameter contrasts are provided for users to choose the desired results. Compared to state-of-The-Art SOD algorithms, our method outperforms almost all other methods on twelve datasets under two evaluation metrics. |
URI: | https://scholars.lib.ntu.edu.tw/handle/123456789/640569 | ISBN: | 9798350359855 | DOI: | 10.1109/VCIP59821.2023.10402694 |
Appears in Collections: | 電機工程學系 |
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