Object Detection with SSD - DLMC22

SSD is a single-shot detector. It has no delegated region proposal network and predicts the boundary boxes and the classes directly from feature maps in one single pass. To improve accuracy, SSD introduces: small convolutional filters to predict object classes and offsets to default boundary boxes. Let's find out more at the workshop.

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SSD is a single-shot detector. It has no delegated region proposal network and predicts the boundary boxes and the classes directly from feature maps in one single pass. To improve accuracy, SSD introduces: small convolutional filters to predict object classes and offsets to default boundary boxes. Let's find out more at the workshop.

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