Attention Res-Unet: 一种高效阴影检测算法
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董月,冯华君,徐之海,陈跃庭,李奇
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Attention Res-Unet: an efficient shadow detection algorithm
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Yue DONG,Hua-jun FENG,Zhi-hai XU,Yue-ting CHEN,Qi LI
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表 1 Attention Res-Unet与A+D-Net[18]、scGAN[17]、patched-CNN[16]、stacked-CNN[15]的定量评价结果 |
Tab.1 Quantitative evaluation results of Attention Res-Unet, A+D-Net[18], scGAN[17], patched-CNN[16] and stacked-CNN[15] |
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方法 | SBU[15] | | UCF[23] | BER | SER | NER | | BER | SER | NER | Attention Res-Unet | 4.88 | 5.31 | 4.44 | | 8.42 | 8.40 | 8.44 | A+D-Net[18] | 5.70 | 6.20 | 5.20 | | 9.90 | 7.30 | 12.50 | scGAN[17] | 9.10 | 7.80 | 10.40 | 11.50 | 7.70 | 15.30 | patched-CNN[16] | 11.20 | 10.13 | 12.27 | — | — | — | stacked-CNN[15] | 11.00 | 9.60 | 12.50 | | 13.00 | 9.00 | 17.10 |
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