Following the success of AlexNet in this competition, many other deep learning architectures have been submitted to the ImageNet challenge in order to accomplish better performance. In this sense, the next diagram shows one-crop accuracies of the most relevant deep learning approaches submitted to the ImageNet challenge, including the AlexNet (2012) architecture on the far left, to the best performing Inception-V4 (2016) on the far right:
The main aspects of these deep learning architectures are briefly commented on as follows, highlighting the key aspects they introduce.
Additionally, we also include ...
