Paper-review CAM: Learning Deep Features For Discriminative Localization 안녕하세요 AiRLab 박주희입니다. 오늘 소개할 논문은 Learning Deep Features For Discriminative Localization 으로 CAM이라고도 불리며,CVPR2016 에서 소개된 논문입니다.
Paper-review Delving Deep into Rectifiers Surpassing Human-Level Performance on Imagenet Classification 안녕하세요 AiRLab 박주희입니다. 오늘 소개할 논문은 Delving Deep into Rectifiers Surpassing Human-Level Performance on Imagenet Classification (https://arxiv.org/pdf/1502.01852.pdf)이며, ICCV2015에서 소개된 논문입니다.
Paper-review Exploring Randomly Wired Neural Networks for Image Recognition 안녕하세요 AiRLab 이상우입니다. 이번에 읽어본 논문은 Exploring Randomly Wired Neural Networks for Image Recognition 으로 Network Architecture 를 Random 하게 만들어보면 어떨까? 하는 생각을 가진 논문입니다.
Paper-review Mixup: BEYOND EMPIRICAL RISK MINIMIZATION Mixup: BEYOND EMPIRICAL RISK MINIMIZATION Review
Paper-review Manifold Mixup: Better Representations by Interpolating Hidden States Manifold Mixup: Better Representations by Interpolating Hidden States 리뷰
Paper-review Batch Normalization-Accelerating Deep Network Training by Reducing Internal Covariate Shift Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Paper-review GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond 안녕하세요. AiRLab(한밭대학교 인공지능 및 로보틱스 연구실) 이재민입니다! 오늘 소개할 논문은 GCNet으로 (arXiv:1904.11492)으로 이번 ICCV 2019 워크숍에서 소개가 되었던 논문입니다.
Paper-review SlowFast Network for Video Recognition 안녕하세요? 이번에 SlowFast 논문 Review를 하게된 AirLab 이상우입니다.
Paper-review Non-local Neural Networks 안녕하세요. AiRLab(한밭대학교 인공지능 및 로보틱스 연구실) 이재민입니다! 오늘 소개할 논문은 Non-local Neural Networks (arXiv:1711.07971)이며, CVPR2018에서 소개된 논문입니다.
Paper-review Mean teachers are better role models Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Paper-review Unified Perceptual Parsing for Scene Understanding Unified Perceptual Parsing for Scene Understanding Understanding
Paper-review ResNeXt:Aggregated Residual Transformations for Deep Neural Networks ResNeXt:Aggregated Residual Transformations for Deep Neural Networks
Paper-review Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset 리뷰
Paper-review Bag of Tricks Bag of Tricks for Image Classification with Convolutional Neural Networks 리뷰