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引用“”的文章Object Detection With Deep Learning: A Review

标题/作者	年份
Review of deep learning: Concepts, CNN architectures, challenges, applications, future directions L Alzubaidi, J Zhang, AJ Humaidi, A Al-Dujaili, Y Duan, O Al-Shamma, ... Journal of big Data 8, 1-74	2021
Object detection in 20 years: A survey Z Zou, K Chen, Z Shi, Y Guo, J Ye Proceedings of the IEEE	2023
A survey of deep learning techniques for autonomous driving S Grigorescu, B Trasnea, T Cocias, G Macesanu Journal of Field Robotics 37 (3), 362-386	2020
A survey of autonomous driving: Common practices and emerging technologies E Yurtsever, J Lambert, A Carballo, K Takeda IEEE access 8, 58443-58469	2020
Salient object detection: A survey A Borji, MM Cheng, Q Hou, H Jiang, J Li Computational visual media 5, 117-150	2019
Dive into deep learning A Zhang, ZC Lipton, M Li, AJ Smola arXiv preprint arXiv:2106.11342	2021
Multiple object tracking: A literature review W Luo, J Xing, A Milan, X Zhang, W Liu, TK Kim Artificial intelligence 293, 103448	2021
A survey on performance metrics for object-detection algorithms R Padilla, SL Netto, EAB Da Silva 2020 international conference on systems, signals and image processing …	2020
Recent advances in deep learning for object detection X Wu, D Sahoo, SCH Hoi Neurocomputing 396, 39-64	2020
Deep semantic segmentation of natural and medical images: a review S Asgari Taghanaki, K Abhishek, JP Cohen, J Cohen-Adad, G Hamarneh Artificial Intelligence Review 54, 137-178	2021
A survey on deep learning and its applications S Dong, P Wang, K Abbas Computer Science Review 40, 100379	2021
Gliding vertex on the horizontal bounding box for multi-oriented object detection Y Xu, M Fu, Q Wang, Y Wang, K Chen, GS Xia, X Bai IEEE transactions on pattern analysis and machine intelligence 43 (4), 1452-1459	2020
A deep collocation method for the bending analysis of Kirchhoff plate H Guo, X Zhuang, T Rabczuk arXiv preprint arXiv:2102.02617	2021
A survey of modern deep learning based object detection models SSA Zaidi, MS Ansari, A Aslam, N Kanwal, M Asghar, B Lee Digital Signal Processing 126, 103514	2022
Deep neural network concepts for background subtraction: A systematic review and comparative evaluation T Bouwmans, S Javed, M Sultana, SK Jung Neural Networks 117, 8-66	2019
Study on artificial intelligence: The state of the art and future prospects C Zhang, Y Lu Journal of Industrial Information Integration 23, 100224	2021
A comparative analysis of object detection metrics with a companion open-source toolkit R Padilla, WL Passos, TLB Dias, SL Netto, EAB Da Silva Electronics 10 (3), 279	2021
YOLO v3-Tiny: Object Detection and Recognition using one stage improved model P Adarsh, P Rathi, M Kumar 2020 6th international conference on advanced computing and communication …	2020
Recent advances in small object detection based on deep learning: A review K Tong, Y Wu, F Zhou Image and Vision Computing 97, 103910	2020
Applications of deep learning in stock market prediction: recent progress W Jiang Expert Systems with Applications 184, 115537	2021

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