I would say AlexNet [1], rather than VGG, was the landmark paper that got the computer vision community to pay attention to deep learning, specifically by winni

I would say AlexNet [1], rather than VGG, was the landmark paper that got the computer vision community to pay attention to deep learning, specifically by winning the 2012 imagenet competition by a large margin. Not that there weren't successes before (specifically, deep nets had also been getting traction in speech processing), and of course deep learning itself is much older than alexnet. But I think most people, specially in vision, would say the 2012 imagenet competition was the watershed moment for DL. By current standards it's not very deep, but at the time it was definitely "deeper"than the popular models at the time (which were mostly not neural networks). VGG is also super influential of course -- it reinforced the trend towards ever deeper networks, which ResNet also took to another level. [1] https://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf https://papers.nips.cc/paper/4824-imagenet-classification-wi...