Detecting soccer balls with reduced neural networks: a comparison of multiple architectures under constrained hardware scenarios

Object detection techniques that achieve state-of-the-art detection accuracy employ convolutional neural networks, implemented to have optimal performance in graphics processing units. Some hardware systems, such as mobile robots, operate under constrained hardware situations, but still benefit from object detection capabilities... (read more)

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