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
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