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Few suggestions for papers

Open rteja1113 opened this issue 8 years ago • 1 comments

  1. 'Densely Connected Convolutional Networks' - G Huang, GB Huang, S Song, K You obtained state-of-the-art results in image classification on CIFAR-10, CIFAR-100, SVHN, ImageNet This paper also won CVPR 17 best paper award along with Apple's paper

  2. 'U-Net: Convolutional Networks for Biomedical Image Segmentation' - O Ronneberger, P Fischer, T Brox This paper is quite successful in medical image segmentation and enjoyed success in Kaggle too

  3. 'The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation' - obtained state-of-the-art results in segmentation on CamVid and Gatech datasets. This one is by Bengio group

  4. 'Wasserstein GAN' - M Arjovsky, S Chintala, L Bottou This paper solved a lot of issues with GANs stability. The change in loss function and training paradigm make loss functions interpretable. They obtained good results even with a normal mlp on LSUN dataset.

rteja1113 avatar Sep 10 '17 06:09 rteja1113

+1

hunkim avatar Jan 20 '18 23:01 hunkim