Attention-Aware Generative Adversarial Networks (ATA-GANs)

Rich Caruana. Multitask Learning: A Knowledge-based Source of Inductive Bias. In:ICML (1993)

1993

Earlier work this paper cites.

Pasquale Foggia, Gennaro Percannella, Paolo Soda, Mario Vento. Benchmarking HEp-2 cells classification methods. TMI(2013)

2013

Earlier work this paper cites.

Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio. Generative adversarial nets. In:NIPS. (2014)

2014

Earlier work this paper cites.

Geoffrey Hinton, Oriol Vinyals, Jeff Dean. Distilling the Knowledge in a Neural Network. In:NIPS. (2014)

2014

Earlier work this paper cites.

M. Oquab, L. Bottou, I. Laptev, and J. Sivic. Learning and transferring mid-level image representations using convolutional neural networks. In: CVPR. (2014)

2014

Earlier work this paper cites.

Pasquale Foggia, Gennaro Percannella, Alessia Saggese,Mario Vento. Pattern recognition in stained HEp-2 cells: where are we now? In: Pattern Recognition (2014)

2014

Cited alongside, same era.

Ramazan Gokberk Cinbis, Jakob Verbeek, Cordelia Schmid. Weakly supervised object localization with multi-fold multiple instance learning. In: TPAMI. (2015)

2015

Cited alongside, same era.

M. Oquab, L. Bottou, I. Laptev, and J. Sivic. Is object localization for free? weakly-supervised learning with convolutional neural networks. In: CVPR (2015)

2015

Cited alongside, same era.

Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun. Deep Residual Learning for Image Recognition. In: ICCV(2015)

2015

Cited alongside, same era.

Shrivastava,Tomas Pfister, Oncel Tuzel, Josh Susskind, Wenda Wang Russell Webb. Learning from Simulated and Unsupervised Images through Adversarial Training. In:CVPR. (2016)

Bolei Zhou, Aditya Khosla, Agata Lapedriza, Aude Oliva, Antonio Torralba. Learning Deep Features for Discriminative Localization. In: CVPR.(2016)

2016

Later among the works it cites.

Forrest N. Iandola, Matthew W. Moskewicz, Khalid Ashraf, Song Han, William J. Dally Kurt Keutzer. SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and 1MB model size. ICLR (2016)

2016

Later among the works it cites.

Concetto Spampinato, Simone Palazzo, Isaak Kavasidis, Daniela Giordano, Nasim Souly, Mubarak Shah. Deep Learning Human Mind for Automated Visual Classification. In: CVPR. (2017)

2017

Later among the works it cites.

Sergey Zagoruyko, Nikos Komodakis. Paying more attention to attention: Improving the performance of convolutional neural networks via attention transfer. In: ICLR.(2017)

2017

Later among the works it cites.