no code implementations • ICML 2020 • Aditya Rajagopal, Diederik Vink, Stylianos Venieris, Christos-Savvas Bouganis
Large-scale convolutional neural networks (CNNs) suffer from very long training times, spanning from hours to weeks, limiting the productivity and experimentation of deep learning practitioners.
2 code implementations • 18 Jul 2018 • Christos Kyrkou, George Plastiras, Stylianos Venieris, Theocharis Theocharides, Christos-Savvas Bouganis
Through the analysis we propose a CNN architecture that is capable of detecting vehicles from aerial UAV images and can operate between 5-18 frames-per-second for a variety of platforms with an overall accuracy of ~95%.
Object Detection In Aerial Images One-Shot Object Detection +1