Object detection is one of the most central and critical tasks in computer vision. It is also a task with a number of practical benefits. From autonomous driving to surveillance, a well trained object detector can bring a lot of performance advantages to the table.

The recent advances in Deep Learning aided computer vision, driven primarily by the Convolutional Neural Network (CNN) architecture and more recently by the Transformer architecture have produced a number of excellent object detectors at the disposal of a computer vision practitioner. Focusing on the CNNs, a series of models of the two stage approach have…

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