Densely Connected Convolutional Networks
Best Paper Award at CVPR 2017, yielding improvements on state-of-the-art performances on CIFAR-10, CIFAR-100 and SVHN datasets, this new neural network architecture is named DenseNet.
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Convolutional Neural Network (CNN) en.wikipedia.org
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Very Deep Convolutional Networks for Large-Scale Image Recognition arxiv.org
Interesting idea of stacking multiple 3x3 conv+ReLU before pooling for a bigger filter size with just a few parameters. There is also a nice table for "ConvNet Configuration".
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The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation arxiv.org
Merges the ideas of the U-Net and the DenseNet, this new neural network is especially good for huge datasets in image segmentation.
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Going Deeper with Convolutions cv-foundation.org
GoogLeNet: Appearance of "Inception" layers/modules, the idea is of parallelizing conv layers into many mini-conv of different size with "same" padding, concatenated on depth.
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[Paper-CVPR14] cv-foundation.org
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ImageNet Classification with Deep Convolutional Neural Networks cs.toronto.edu
AlexNet, 2012 ILSVRC, breakthrough of the ReLU activation function.
Education › Papers > Convolutional Neural Networks: “Best Paper Award at CVPR 2017, yielding improvements on state-of-the-art performances on CIFAR-10, CIFAR-100 and SVHN datasets, this new neural network architecture is named DenseNet.”