许声宏. 在线教学中的人工智能应用初探[J]. 西南师范大学学报(自然科学版), 2022, 47(9): 111-115.
代建华, 彭若瑶, 许路, 等. 基于深度神经网络的信息抽取研究综述[J]. 西南师范大学学报(自然科学版), 2022, 47(4): 1-11.
张丽英, 裴韬, 陈宜金, 等. 基于街景图像的城市环境评价研究综述[J]. 地球信息科学学报, 2019, 21(1): 46-58.
RUSSAKOVSKY O, DENG J, SU H, et al. ImageNet Large Scale Visual Recognition Challenge [J]. International Journal of Computer Vision, 2015, 115(3): 211-252. doi: 10.1007/s11263-015-0816-y
董华珍. 基于CNN的普米语孤立词语谱图分类[J]. 西南大学学报(自然科学版), 2021, 43(2): 160-168.
吴绪玲. 基于混合优化的双模深度学习文本分类方法[J]. 西南大学学报(自然科学版), 2022, 44(11): 234-242.
刘伦, 王辉. 城市研究中的计算机视觉应用进展与展望[J]. 城市规划, 2019, 43(1): 117-124.
HERAS L P, AHMED S, LIWICKI M, et al. Statistical Segmentation and Structural Recognition for Floor Plan Interpretation [J]. International Journal on Document Analysis and Recognition, 2014, 17(3): 221-237.
LIU C, WU J J, KOHLI P, et al. Raster-to-Vector: Revisiting Floorplan Transformation [C]//2017 IEEE International Conference on Computer Vision (ICCV). October 22-29, 2017, Venice, Italy. IEEE, 2017: 2214-2222.
YAMASAKI T, ZHANG J, TAKADA Y. Apartment Structure Estimation Using Fully Convolutional Networks and Graph Model [C]//Proceedings of the 2018 ACM Workshop on Multimedia for Real Estate Tech. 11 June 2018, Yokohama, Japan. New York: ACM, 2018: 1-6.
ZENG Z, LI X, YU Y K, et al. Deep flfloor plan recognition using a multi-task network with room-boundary-guided attention, in: Proceedings of the IEEE International Conference on Computer Vision, 2019, pp. 9096-9104.
HERAS L P, TERRADES O R, ROBLES S, et al. CVC-FP and SGT: a New Database for Structural Floor Plan Analysis and Its Groundtruthing Tool [J]. International Journal on Document Analysis and Recognition, 2015, 18(1): 15-30.
KALERVO A, YLIOINAS J, HÄIKIÖ M, et al. CubiCasa5K: A Dataset and an Improved Multi-Task Model for Floorplan Image Analysis [M]//Image Analysis. Cham: Springer International Publishing, 2019: 28-40.
WU W M, FU X M, TANG R, et al. Data-Driven Interior Plan Generation for Residential Buildings [J]. ACM Transactions on Graphics, 2019, 38(6): 1-12.
PORIKLI F, SHAN S G, SNOEK C, et al. Deep Learning for Visual Understanding: Part 2 [from the Guest Editors [J]. IEEE Signal Processing Magazine, 2018, 35(1): 17-19.
KONG L Q, LIU Z F, WU J G. A Systematic Review of Big Data-Based Urban Sustainability Research: State-of-the-Science and Future Directions [J]. Journal of Cleaner Production, 2020, 273: 123142.
MA L, LIU Y, ZHANG X L, et al. Deep Learning in Remote Sensing Applications: a Meta-Analysis and Review [J]. ISPRS Journal of Photogrammetry and Remote Sensing, 2019, 152: 166-177.
GONG F Y, ZENG Z C, ZHANG F, et al. Mapping Sky, Tree, and Building View Factors of Street Canyons in a High-Density Urban Environment [J]. Building and Environment, 2018, 134: 155-167.
GONZALEZ D, RUEDA-PLATA D, ACEVEDO A B, et al. Automatic Detection of Building Typology Using Deep Learning Methods on Street Level Images [J]. Building and Environment, 2020, 177: 106805.
DAI M L, WARD W O C, MEYERS G, et al. Residential Building Facade Segmentation in the Urban Environment [J]. Building and Environment, 2021, 199: 107921.
LIN T Y, GOYAL P, GIRSHICK R, et al. Focal Loss for Dense Object Detection [J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, 42(2): 15-25.