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A Review on Real Time Object Detection using Single Shot Multibox Detector
2019
jecet
This research paper investigates the running of object detection algorithm on low-end devices to detect different kinds of objects in images. Deep convolutional neural networks (CNNs) which are used in SSD have recently proven extremely capable of performing object detection in single-frame images. Single shot multi-box object detectors have been recently shown to achieve state-of-the-art performance on object detection tasks. The implementation can be done using Pytorch object detection
doi:10.24214/jecet.b.8.3.23641
fatcat:ler3nlvlxzfkpk3nvgp5cttosi