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website: https://interpretablevision.github.io/ Lecture 1 by Bolei Zhou: Exploring and Exploiting Interpretable Semantics in GANs. video, slide, bili Lecture 2 by Zeynep Akata: Modeling Conceptua...

Paper Link: https://openreview.net/forum?id=Bygh9j09KX Abstract ImageNet-trained CNNs are strongly biased towards recognising textures rather than shapes, which is in stark contrast to human be...

Paper Link: http://www.visionlab.cs.hku.hk/publications/wliu_aaai18.pdf Contributions simple and efficient Char-Net for distorted scene text recognition. This network can be trained in end-to-...

최근 해외 트래픽(트위터, 넷플릭스, 유튜브, 깃헙 등등) 사용 시 느려지는 문제를 해결하기 위해서 1.1.1.1 warp를 사용하시는 분들이 많습니다. 그런데 아직 1.1.1.1은 스마트폰에서만 지원하기 때문에 PC에서는 1.1.1.1을 사용을 못하고 계실텐데 최근에 사용할 수 있는 방법을 찾게되어 이를 알려드립니다. 과정은 다음과 같습니다. ...

Paper Link: https://arxiv.org/abs/1901.03003 Overview A Multi-Object Rectified Attention Network for Scene Text Recognition (MORAN) can read rotated, scaled and stretched characters. MORAN =...

Paper Link: https://arxiv.org/abs/1912.10205 Decoupled Attention Network (DAN) What is the difference? In traditional attention mechanism, alignment is coupled w...

Image-to-Image Translation with Conditional Adversarial Networks arxiv paper link First general purpose conditional GAN for image to image translation task Impressive output on i...

Basic Deep Learning Concepts Hard concepts are Bolded Supervised Learning / Unsupervised Learning / semi-supervised, weakly-supervised weight initialization learning rate decay dropout ...