Tractable Approximations for Achieving Higher Model Efficiency in Computer Vision KU Leuven
The 2010s have seen the first large-scale successes of computer vision “in the wild”, paving the way for industrial applications. Thanks to the formidable increase of processing power in consumer electronics, convolutional neural networks have led the way in this revolution. With enough supervision, these models have proven able to surpass human accuracy on many vision tasks. However, rather than focusing exclusively on accuracy, it is ...