Abstract: We propose two improvements to the SSD-single shot multibox detector. First, we propose an adaptive approach for default box selection in SSD.
Aug 17, 2018 · The purpose of this research is to push the capabilities of single-stage networks by improving their detection precision. SSD - Single Shot ...
An adaptive approach for default box selection in SSD and an ensemble algorithm, using SSD as components, which improves the performance of SSD, ...
Aug 17, 2018 · We propose two improvements to the SSD---single shot multibox detector. First, we propose an adaptive approach for default box selection in ...
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Oct 17, 2020 · In today's scenario, the fastest algorithm which uses a single layer of convolutional network to detect the objects from the image is single ...
We propose two improvements to the SSD—single shot multibox detector. First, we propose an adaptive approach for default box selection in SSD.
Title: Ensemble-based Adaptive Single-shot Multi-box Detector. Authors: Viral Thakar, Walid Ahmed, Mohammad M Soltani, Jia Yuan Yu. Comments: 6 pages, 2 ...
Ensemble-based Adaptive Single-shot Multi-box Detector ... This uses data to reduce the uncertainty in the selection of best aspect ratios for the default boxes ...
May 16, 2022 · A novel deep learning-based SSD model is proposed for object detection. First, an improved Inception network is presented to optimize SSD to ...
AbstractIn today's scenario, the fastest algorithm which uses a single layer of convolutional network to detect the objects from the image is single shot ...