参考文献/References:
[1] 晏栖云.浅析服装构成要素对服装舒适性的影响[J].牡丹,2019(21):120-122.
YAN Qiyun. Analysis on the influence of clothing components on clothing comfort[J]. Peony, 2019(21): 120-122.(in Chinese)
[2] 庹武,王哓玉,高雅昆,等.基于改进边缘检测算法的服装款式识别[J].纺织学报,2021, 42(10):157-162.
TUO Wu, WANG Xiaoyu, GAO Yakun, et al. Clothing style identification based on improved edge detection algorithm[J]. Journal of Textile Research, 2021, 42(10): 157-162.(in Chinese)
[3] QIAN S Q, JIANG L F, DONG A H. Silhouette shape and detail texture based garment style recognition[C]//2011 IEEE International Conference on Computer Science and Automation Engineering. Shanghai:IEEE,2011:441- 445.
[4] 李东,万贤福,汪军.采用傅里叶描述子和支持向量机的服装款式识别方法[J].纺织学报,2017, 38(5):122-127.
LI Dong, WAN Xianfu, WANG Jun. Clothing style recognition approach using Fourier descriptors and support vector machines[J]. Journal of Textile Research, 2017, 38(5): 122-127.(in Chinese)
[5] 李东,万贤福,汪军,等.基于轮廓曲率特征点的服装款式识别方法[J].东华大学学报(自然科学版),2018,44(1):87-92.
LI Dong, WAN Xianfu, WANG Jun, et al. Clothing style recognition approach based on the curvature feature points on the contour[J]. Journal of Donghua University(Natural Science), 2018, 44(1): 87-92.(in Chinese)
[6] KRIZHEVSKY A, SUTSKEVER I, HINTON G E. ImageNet classification with deep convolutional neural networks[J]. Communications of the ACM, 2017, 60(6): 84-90.
[7] KIAPOUR M H, HAN X F, LAZEBNIK S, et al. Where to buy it: matching street clothing photos in online shops[C]//2015 IEEE International Conference on Computer Vision. Santiago:IEEE,2015:3343-3351.
[8] 尹光灿,罗戎蕾.基于卷积神经网络的服装领型识别与分类研究[J].现代纺织技术,2020,28(3):48-53.
YIN Guangcan, LUO Ronglei. Research on recognition and classification of garment collar type based on convolutional neural network[J]. Advanced Textile Technology, 2020, 28(3): 48-53.(in Chinese)
[9] 黄健,张钢.深度卷积神经网络的目标检测算法综述[J].计算机工程与应用,2020,56(17):12-23.
HUANG Jian, ZHANG Gang. Survey of object detection algorithms for deep convolutional neural networks[J]. Computer Engineering and Applications, 2020, 56(17): 12-23.(in Chinese)
[10] REN S Q, HE K M, GIRSHICK R, et al. Faster R-CNN: towards real-time object detection with region proposal networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2017, 39(6): 1137-1149.
[11] REDMON J, DIVVALA S, GIRSHICK R, et al. You only look once: unified, real-time object detection[C]//2016 IEEE Conference on Computer Vision and Pattern Recognition. Las Vegas:IEEE,2016: 779-788.
[12] LIU W, ANGUELOV D, ERHAN D, et al. SSD: single shot MultiBox detector[M]//Computer vision—ECCV 2016. Cham: Springer International Publishing, 2016: 21-37.
[13] HUO X, ZHANG L, GUO M, et al. RGB-D SLAM algorithm suitable for dynamic environment based on target detection[C]//2021 5th International Conference on Automation, Control and Robots.Nanning:IEEE, 2021: 64- 68.
[14] 刘正东,刘以涵,王首人.西装识别的深度学习方法[J].纺织学报,2019,40(4):158-164.
LIU Zhengdong, LIU Yihan, WANG Shouren. Depth learning method for suit detection in images[J]. Journal of Textile Research, 2019, 40(4): 158-164.(in Chinese)
[15] 张艳清,刘成霞.基于Faster R-CNN的连衣裙衣领自动识别[J].浙江理工大学学报(自然科学版),2021,45(6):751-757.
ZHANG Yanqing, LIU Chengxia. Automatic recognition of dress collar based on Faster R-CNN[J]. Journal of Zhejiang Sci-Tech University(Natural Sciences Edition), 2021, 45(6): 751-757.(in Chinese)
[16] 李扬,黄荣,董爱华.基于改进Bilinear-CNN的服装图像风格识别[J].东华大学学报(自然科学版),2021,47(3):90-95.
LI Yang, HUANG Rong, DONG Aihua. Fashion style recognition based on an improved Bilinear-CNN[J]. Journal of Donghua University(Natural Science), 2021, 47(3): 90-95.(in Chinese)
[17] 刘于昆,高郭瑞,王淑焜,等.基于VGG网络不同模型的建筑物自动提取[J].电子测试,2021(22):58-59,131.
LIU Yukun, GAO Guorui, WANG Shukun, et al. Automatic building extraction based on different models of VGG network[J]. Electronic Test, 2021(22): 58-59, 131.(in Chinese)
[18] 黄杰.基于Python TensorFlow的深度神经网络应用研究——以服装图像识别为例[J].山西大同大学学报(自然科学版),2020,36(5):54-58.
HUANG Jie. Application of deep neural network based on Python TensorFlow—taking pattern recognition as an example[J]. Journal of Shanxi Datong University(Natural Science Edition), 2020, 36(5): 54-58.(in Chinese)
[19] 汪珊娜,张华熊,康锋.基于卷积神经网络的领带花型情感分类[J].纺织学报,2018,39(8):117-123.
WANG Shanna, ZHANG Huaxiong, KANG Feng. Emotion classification of necktie pattern based on convolution neural network[J]. Journal of Textile Research, 2018, 39(8): 117-123.(in Chinese)
[20] 邓莹洁,罗戎蕾.基于卷积神经网络的半身裙款式特征分类识别[J].现代纺织技术,2021,29(6):98-105.
DENG Yingjie, LUO Ronglei. Classification and recognition of bust skirt style and common features based on convolutional neural network[J]. Advanced Textile Tech-nology, 2021, 29(6): 98-105.(in Chinese)
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