Deep-Learning-Paper-Review

• 딥러닝 논문 리뷰 스터디
  • 남주현
  • 이종대
  • 박서형
  • 방인서
  • 이동건

목차

Title	Presenter	Date
(ICLR2014)Very Deep Convolutional Networks for Large-Scale Image Recognition	남주현	2021.05.07.
(CVPR2016)Deep Residual Learning for Image Recognition	이종대	2021.05.14.
(CVPR2015)Fully Convolutional Networks for Semantic Segmentation	남주현	2021.05.22.
(CVPR2015)Going Deeper with Convolutions	이종대	2021.07.01.
(BMVC2016)Wide Residual Networks	이동건	2021.07.08.
(arxiv2017)Aggregated Residual Transformations for Deep Neural Networks	방인서	2021.07.15.
(IEEE Transaction PAMI2017)SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation	남주현	2021.07.22.
(CVPR2016)Rethinking the Inception Architecture for Computer Vision	이종대	2021.07.29.
(arxiv2017)MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications	이동건	2021.08.05.
(ICLR2014)Network In Network	방인서	2021.08.12.
(ICLR2017)Mixup : Beyond Empirical Risk Minimization	남주현	2021.08.19.
(AAAI2017)Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning	이종대	2021.08.26.
(CVPR2017)Densely Connected Convolutional Networks	박서형	2021.09.02.
(CVPR2016)Identity Mappings in Deep Residual Networks	방인서	2021.09.09.
(CVPR2018)MobileNetV2: Inverted Residuals and Linear Bottlenecks	이동건	2021.09.16.
(ICLR2015)Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs	남주현	2021.09.23.
(arxiv2017)Rethinking Atrous Convolution for Semantic Image Segmentation	남주현	2021.09.23.
(ECCV2018)Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation	남주현	2021.09.23.
(ICLR2017)Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks	이종대	2021.09.30.
(NIPS2017)Attention Is All You Need	박서형	2021.10.07.
(NIPS2014)Generative Adversarial Networks	방인서	2021.10.14.

• 더 많은 논문 리스트들과 자세한 일정은 아래 링크 참조
  • https://docs.google.com/spreadsheets/d/1nnsWhnRSxLkDQfWqcHhqJVM3b9UoCFJ8ImVHSutpE9c