Survey of real-time object detection networks

Survey of real-time object detection networks

A Comprehensive Study of Real-Time Object Detection Networks Across Multiple Domains: A Survey

arXiv paper abstract https://arxiv.org/abs/2208.10895v1

arXiv PDF paper https://arxiv.org/pdf/2208.10895v1.pdf

... a comprehensive study on multiple real-time detectors (anchor-, keypoint-, and transformer-based) on a wide range of datasets and report results on an extensive set of metrics.

... study the impact of variables such as image size, anchor dimensions, confidence thresholds, and architecture layers on the overall performance.

... analyze the robustness of detection networks against distribution shifts, natural corruptions, and adversarial attacks.

... provide a calibration analysis to gauge the reliability of the predictions.

Finally ... conduct two unique case studies, on autonomous driving and healthcare applications

... report the performance after deploying the detection networks on edge devices

Please like and share this post if you enjoyed it using the buttons at the bottom! Stay up to date. Subscribe to my posts https://morrislee1234.wixsite.com/website/contact Web site with my other posts by category https://morrislee1234.wixsite.com/website LinkedIn https://www.linkedin.com/in/morris-lee-47877b7b #ComputerVision #ObjectDetection #AINewsClips #AI #ML #ArtificialIntelligence #MachineLearning