Object detection algorithms based on deep learning

Lutong Dong; Jingdi Cheng; Bo Sha; Jianwei Wang

doi:10.1117/12.2641103

13 October 2022 Object detection algorithms based on deep learning

Lutong Dong, , Jingdi Cheng, Bo Sha, Jianwei Wang

Proceedings Volume 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022); 1228702 (2022) https://doi.org/10.1117/12.2641103
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 2022, Wuhan, China

Abstract

The object detection algorithm has experienced the transition from the traditional algorithm to the object detection method based on convolutional neural network. The traditional object detection algorithm mainly includes VJ detector, HOG, DPM, etc. It mainly uses the sliding window method to detect and locate the object, and there is a certain bottleneck in the running speed. With the increase of training data and computer performance, the object detection algorithm based on deep learning has a good effect in both detection accuracy and detection speed, and has become the mainstream algorithm of object detection. Through the author's own understanding, this paper summarizes various object detection algorithms in a more understandable language.

Citation Download Citation

Lutong Dong, , Jingdi Cheng, Bo Sha, and Jianwei Wang "Object detection algorithms based on deep learning", Proc. SPIE 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 1228702 (13 October 2022); https://doi.org/10.1117/12.2641103

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