Computer and Modernization ›› 2022, Vol. 0 ›› Issue (09): 32-39.
Previous Articles Next Articles
Online:
2022-09-22
Published:
2022-09-22
PENG Lu-lu, ZHU Yuan-yuan, JIN Wen-qian, WANG Xiao-mei. Surface Defect Detection of Automotive Steel Parts Based on Improved YOLOv4[J]. Computer and Modernization, 2022, 0(09): 32-39.
[1] | MURTHY C B, HASHMI M F, BOKDE N D, et al. Investigations of object detection in images/videos using various deep learning techniques and embedded platforms-A comprehensive review[J]. Applied Sciences, 2020,10(9):3280. |
[2] | 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 (CVPR). 2016:779-788. |
[3] | REDMON J, FARHADI A. YOLO9000: Better, faster, stronger[C]// 2017 IEEE Conference on Computer Vision and Pattern Recognition. 2017:6517-6525. |
[4] | REDMON J, FARHADI A. YOLOv3: An incremental improvement[J]. arXiv preprint arXiv:1804.02767, 2018. |
[5] | BOCHKOVSKIY A, WANG C Y, LIAO H Y M. YOLOv4: Optimal speed and accuracy of object detection[J]. Computer Vision and Pattern Recognition, arXiv preprint arXiv:2004.10934, 2020. |
[6] | LIU W, ANGUELOV D, ERHAN D, et al. SSD: Single shot multibox detector[J]. arXiv preprint arXiv:1512.02325, 2016. |
[7] | GIRSHICK R, DONAHUE J, DARRELLT, et al. Rich feature hierarchies for accurate object detection and semantic segmentation [C]// 2014 IEEE Conference on Computer Vision and Pattern Recognition. 2014:580-587. |
[8] | GIRSHICK R. Fast R-CNN[C]// 2015 IEEE International Conference on Computer Vision (ICCV). 2015:1440-1448. |
[9] | 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. |
[10] | HE K M, GKIOXARI G, DOLLR P, et al. Mask R-CNN[C]// 2017 IEEE International Conference on Computer Vision. 2017:2980-2988. |
[11] | LI Y C, CHEN Y T, WANG N Y, et al. Scale-aware trident networks for object detection[C]// Proceedings of the 2019 IEEE International Conference on Computer Vision. 2019:6054-6063. |
[12] | ZHU C C, HE Y H, SAVVIDES M, et al. Feature selective anchor-free module for single-shot object detection [C]// Proceedings of the 2019 IEEE Conference on Computer Vision and Pattern Recognition. 2019:840-849. |
[13] | TIAN Z, SHEN C H, CHEN H, et al. FCOS: Fully convolutional one-stage object detection[C]// Proceedings of the 2019 IEEE International Conference on Computer Vision. 2019:9627-9636. |
[14] | DUAN K W, BAI S, XIE L X, et al. CenterNet: Keypoint triplets for object detection[C]// Proceedings of the 2019 IEEE International Conference on Computer Vision. 2019:6569-6578. |
[15] | LAW H, DENG J. CornerNet: Detecting objects as paired keypoints[C]// Proceedings of the 17th European Conference on Computer Vision. 2018:765-781. |
[16] | ZHOU X Y, WANG D Q, KRAHENBUHL P, et al. Objects as points[J]. arXiv preprint arXiv:1904.07850, 2019. |
[17] | CHEN Y J, DING Y Y, ZHAO F, et al. Surface defect detection methods for industrial products: A review[J]. Applied Sciences, 2021,11(16):7657. |
[18] | CZIMMERMANN T, GIUTI G, MILAZZO M, et al. Visual-based defect detection and classification approaches for industrial applications-A survey[J]. Sensors (Basel Switzerland), 2020,20(5):1-25. |
[19] | LUO Q W, FANG X X, LIU L, et al. Automated visual defect detection for flat steel surface: A survey[J]. IEEE Transactions on Instrumentation and Measurement, 2020,69(3):626-644. |
[20] | DENG H F, CHENG J H, LIU T, et al. Research on iron surface crack detection algorithm based on improved YOLOv4 network[J]. Journal of Physics: Conference Series, 2020,1631(1):012081. |
[21] | SHEN X H, LI Z H, LI M, et al. Aluminum surface-defect detection based on multi-task deep learning[J]. Laser & Optoelectronics Progress, 2020,57(10):101501. |
[22] | XU Y M, ZHANG K, WANG L. Metal surface defect detection using modified YOLO[J]. Algorithms, 2021,14(9):257. |
[23] | 赵振兵,熊静,李冰,等. 基于改进 Cascade RCNN 的典型金具及其部分缺陷检测方法[J]. 高电压技术, 2022(3):1060-1067. |
[24] | 李维刚,叶欣,赵云涛,等. 基于改进 YOLOv3 算法的带钢表面缺陷检测[J]. 电子学报, 2020,48(7):1284-1292. |
[25] | HU J, SHEN L, ALBANLE S, et al. Squeeze-and-excitation networks[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020,42(8):2011-2023. |
[26] | LIU S T, HUANG D, WANG Y H. Receptive field block net for accurate and fast object detection[C]// European Conference on Computer Vision. 2018:404-419. |
[1] | HU Chong-jia, LIU Jin-zhou, FANG Li. Unsupervised Domain Adaptation for Outdoor Point Cloud Semantic Segmentation [J]. Computer and Modernization, 2024, 0(01): 74-79. |
[2] | LIN Wei. Incremental News Recommendation Method Based on Self-supervised Learning and Data Replay [J]. Computer and Modernization, 2023, 0(12): 1-6. |
[3] | LIANG Tian-kai, HUANG Kang-hua, LIU Kai-hang, LAN Lan, ZENG Bi. Deep Federated Image Classification Method Based on Bilateral Homomorphic Encryption [J]. Computer and Modernization, 2023, 0(12): 36-40. |
[4] | QIU Kai-xing, FENG Guang. A Multi-label Image Classification Model Based on Dual Feature Attention [J]. Computer and Modernization, 2023, 0(12): 41-47. |
[5] | ZHANG Bo-quan, MAI Hai-peng, CHEN Jia-min, Pang Jin-ju. White Matter Hyperintensities Segmentation Based on High Gray Value#br# Attention Mechanism [J]. Computer and Modernization, 2023, 0(12): 67-75. |
[6] | LI Yan-man, WANG Bi-heng, ZHAO Ling-yan. Safety Helmet Detection Based on Lightweight YOLOv5 [J]. Computer and Modernization, 2023, 0(10): 59-64. |
[7] | LI Shi-da, XIANG Jian-wen. A Weakened Joint Reinforcement Method to Improve Robustness of Image Recognition Models [J]. Computer and Modernization, 2023, 0(10): 70-76. |
[8] | SHEN Jia-wei, LU Yi-ming, CHEN Xiao-yi, QIAN Mei-ling, LU Wei-zhong, . Review of Research on Human Behavior Detection Methods Based on Deep Learning [J]. Computer and Modernization, 2023, 0(09): 1-9. |
[9] | LIU Chan-yi, HUANG Dan, XUE Lin-yan, WANG Tao, ZHU Tao, . COVID-19 X-ray Classification Based on Improved Efficientnet Network [J]. Computer and Modernization, 2023, 0(09): 94-99. |
[10] | MA Guo-xiang, YANG Ling-fei, YAN Chuan-bo, ZHANG Zhi-hao, SUN Bing, WANG Xiao-rong. Ultrasonic Image Diagnosis of Hepatic Echinococcosis Based on Deep DenseNet Network [J]. Computer and Modernization, 2023, 0(09): 100-104. |
[11] | NONG Hao-cheng, REN De-jun, REN Qiu-lin, LIU Peng-li, HUANG De-cheng. Surface Anomaly Detection Algorithm of Flexible Plastic Packaging Based on Improved ConvNeXt [J]. Computer and Modernization, 2023, 0(08): 12-17. |
[12] | OUYANG Fei, WU Xu, XIANG Dong-sheng. Garbage Classification and Detection Method Based on Improved YOLOX [J]. Computer and Modernization, 2023, 0(08): 68-73. |
[13] | HU Rui-jie, CHE Dou. Review of Infrared Small Target Detection [J]. Computer and Modernization, 2023, 0(08): 79-86. |
[14] | JIANG Lei, TANG Jian, YANG Chao-yue, LYU Ting-ting. Bearing Fault Diagnosis Based on CWGAN-GP and CNN [J]. Computer and Modernization, 2023, 0(07): 1-6. |
[15] | WANG Jia-chen, ZHANG Hong-xin, LIU Qing-hua, . CT Image Generation of Pneumonia Based on Generative Adversarial Network [J]. Computer and Modernization, 2023, 0(07): 20-24. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||