1. Visualizing and understanding convolutional networks;zeiler;European Conference on Computer Vision,2014
2. Food-101– mining discriminative components with random forests;bossard;European Conference on Computer Vision,2014
3. Imagenet classification with deep convolutional neural networks;krizhevsky;Advances in neural information processing systems,2012
4. Deep-daze,2021
5. Going deeper with convolutions