2017
Learning Efficient Object Detection Models with Knowledge Distillation
NeurIPS 2017poster
Despite significant accuracy improvement in convolutional neural networks (CNN) based object detectors, they often require prohibitive runtimes to process an image for real-time applications. State-of-the-art models often use very deep networks with a large number of floating point operations. Effor…