Oct 1, 2020 · Object detection can be done through various techniques like R-CNN, Fast R-CNN, Faster R-CNN, Single Shot detector (SSD) and YOLO v3. A comparison of these algorithms is …

Aug 29, 2022 · In this article we will be discussing the comparative study of three famous object detection algorithms: Also, we will see the overview of the current performance comparison of …

Mar 21, 2024 · In this study, we explore each of the standard performance metrics involving Average Precision (AP), AP50, Average Precision Small (APS), Average Precision Medium …

May 10, 2021 · In this comparative analysis, using the Microsoft COCO (Common Object in Context) dataset, the performance of these three algorithms is evaluated and their strengths …

This work explores and compares the plethora of metrics for the performance evaluation of object-detection algorithms. Average precision (AP),for instance, is a.

Mar 1, 2024 · In this work, different devices are evaluated using object detection algorithms based on deep learning. For this purpose, YOLOv3, YOLOv5 and YOLOX, with all their variants, …

Abstract: This paper aims to compare and analyze the currently popular object detection algorithms and discuss performance optimization strategies for these algorithms.

In this paper, common object detection algorithms will be discussed. The most two used methods will be tested and compared in their performance and features. The direct comparison …

Jun 2, 2023 · In this paper, we review the recent literature on object detection-based deep learning techniques, including region-based, edge-based, texture-based, etc. This paper also …

In this paper, the main point is comparison of different tracking algorithms from the state-of-the-art with the proposed algorithm which uses Local Binary Pattern Histograms (LBPH) [9] and …