Keyword [Spatial Pooling] [Classwise Pooling]

Durand T , Mordan T , Thome N , et al. WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation[C]// 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2017.

Keyword [Max-Min Pooling]

Blot M, Cord M, Thome N. Max-min convolutional neural networks for image classification[C]//2016 IEEE International Conference on Image Processing (ICIP). IEEE, 2016: 3678-3682.

Keyword [Global Average Pooling]

Zhou B, Khosla A, Lapedriza A, et al. Learning deep features for discriminative localization[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 2921-2929.

Liang N M , Hu N X . Recurrent convolutional neural network for object recognition[C]// 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Computer Society, 2015.

Pinheiro P H O, Collobert R. Recurrent convolutional neural networks for scene labeling[C]//31st International Conference on Machine Learning (ICML). 2014 (EPFL-CONF-199822).

Ilg E, Cicek O, Galesso S, et al. Uncertainty estimates and multi-hypotheses networks for optical flow[C]//Proceedings of the European Conference on Computer Vision (ECCV). 2018: 652-667.

Keyword [Ensemble Adversarial Training]

Tramèr F, Kurakin A, Papernot N, et al. Ensemble adversarial training: Attacks and defenses[J]. arXiv preprint arXiv:1705.07204, 2017.

Keyword [SVM]

Biggio B , Nelson B , Laskov P . Poisoning Attacks against Support Vector Machines[J]. 2012.

Frosst N, Sabour S, Hinton G. DARCCC: Detecting Adversaries by Reconstruction from Class Conditional Capsules[J]. arXiv preprint arXiv:1811.06969, 2018.

Keyword [Adversarial Patch]

Karmon D, Zoran D, Goldberg Y. Lavan: Localized and visible adversarial noise[J]. arXiv preprint arXiv:1801.02608, 2018.