What is the latest algorithm deep learning for object detection?
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The latest algorithm for deep learning object detection is the Single Shot Detector (SSD) algorithm. SSD is an improved detection algorithm that uses the lightweight network MobileNet as the basic network in the SSD model to reduce computation time and extract image features efficiently . It establishes correlations between frames and achieves good performance in terms of detection accuracy and speed . Other popular algorithms for object detection include Faster R-CNN, HOG, R-CNN, R-FCN, SPP-net, and YOLO versions . These algorithms have been widely studied and compared through sample experiments . Real-time object detection using deep learning has become a burgeoning field, with CNNs being trained on large-scale image datasets to extract discriminative features effectively . Faster CNN architectures like SSD and YOLO, along with hardware acceleration strategies, have been proposed to improve real-time performance .
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| The paper does not mention the latest algorithm for deep learning-based object detection. | |
26 May 2023 | The latest algorithm for object detection based on deep learning is the improved SSD detection algorithm using the MobileNet network. |
26 May 2023 | The latest algorithm for object detection based on deep learning is the improved SSD detection algorithm using the MobileNet network. |
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