第6期 刘万军，等：空洞卷积与注意力融合的对抗式图像阴影去除算法 ·1089· [18]贾字峰，马力.条件约束下的自我注意生成对抗网络 USA,2017:2308-2316. [)西安电子科技大学学报，2019,46(6)：163-170. [23]DING Bin,LONG Chengjiang,ZHANG Ling,et al.AR- JIA Yufeng,MA Li.Self-attention generative adversari- GAN:attentive recurrent generative adversarial network al network with the conditional constraint[J].Journal of for shadow detection and removal[C]//Proceedings of Xidian University,2019,46(6):163-170. the 2019 IEEE/CVF International Conference on Com- [19]QIAN Rui,TAN R T,YANG Wenhan,et al.Attentive puter Vision (ICCV).Seoul,Korea (South).2019:10212- generative adversarial network for raindrop removal 10221 from a single image[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.Salt Lake 作者简介： City,USA,2018:2482-2491 刘万军，教授，博士生导师，主要 研究方向为图像与智能信息处理。获 [20]刘烨，黄金筱，马于涛.基于混合神经网络和注意力机 国家发明专利5项，出版专著教材 制的软件缺陷自动分派方法).计算机研究与发展， 6部，发表学术论文130余篇。 2020,57(3):459-473 LIU Ye,HUANG Jinxiao,MA Yutao.An automatic method using hybrid neural networks and attention mechanism for software bug triaging[J].Journal of Com- 佟畅，硕士土研究生，主要研究方向 为图像与智能信息处理。 puter research and development,2020,57(3):459-473. [21]WANG Jifeng,LI Xiang,YANG Jian.Stacked condi- tional generative adversarial networks for jointly learn- ing shadow detection and shadow removal[Cl//2018 IEEE/ CVF Conference on Computer Vision and Pattern Re- 曲海成，副教授，博士，主要研究 cognition.Salt Lake City,USA,2018:1788-1797. 方向为图像与智能信息处理。 [22]QU Liangqiong,TIAN Jiandong,HE Shengfeng,et al. DeshadowNet:a multi-context embedding deep network for shadow removal[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,贾宇峰, 马力. 条件约束下的自我注意生成对抗网络 [J]. 西安电子科技大学学报, 2019, 46(6): 163–170. JIA Yufeng, MA Li. Self-attention generative adversari￾al network with the conditional constraint[J]. Journal of Xidian University, 2019, 46(6): 163–170. [18] QIAN Rui, TAN R T, YANG Wenhan, et al. Attentive generative adversarial network for raindrop removal from a single image[C]//2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition. Salt Lake City, USA, 2018: 2482−2491. [19] 刘烨, 黄金筱, 马于涛. 基于混合神经网络和注意力机 制的软件缺陷自动分派方法 [J]. 计算机研究与发展, 2020, 57(3): 459–473. LIU Ye, HUANG Jinxiao, MA Yutao. An automatic method using hybrid neural networks and attention mechanism for software bug triaging[J]. Journal of Com￾puter research and development, 2020, 57(3): 459–473. [20] WANG Jifeng, LI Xiang, YANG Jian. Stacked condi￾tional generative adversarial networks for jointly learn￾ing shadow detection and shadow removal[C]//2018 IEEE/ CVF Conference on Computer Vision and Pattern Re￾cognition. Salt Lake City, USA, 2018: 1788−1797. [21] QU Liangqiong, TIAN Jiandong, HE Shengfeng, et al. DeshadowNet: a multi-context embedding deep network for shadow removal[C]//2017 IEEE Conference on Computer Vision and Pattern Recognition. Honolulu, [22] USA, 2017: 2308−2316. DING Bin, LONG Chengjiang, ZHANG Ling, et al. AR￾GAN: attentive recurrent generative adversarial network for shadow detection and removal[C]//Proceedings of the 2019 IEEE/CVF International Conference on Com￾puter Vision (ICCV). Seoul, Korea (South), 2019: 10212− 10221. [23] 作者简介： 刘万军，教授，博士生导师，主要 研究方向为图像与智能信息处理。获 国家发明专利 5 项，出版专著教材 6 部，发表学术论文 130 余篇。 佟畅，硕士研究生，主要研究方向 为图像与智能信息处理。 曲海成，副教授，博士，主要研究 方向为图像与智能信息处理。 第 6 期 刘万军，等：空洞卷积与注意力融合的对抗式图像阴影去除算法 ·1089·