深度学习在计算机视觉领域的前沿进展

参考博客

1. 【NIPS 主旨演讲】Yann LeCun：用预测学习替代无监督学习
2. 计算机视觉和 CNN 发展十一座里程碑
3. Generative Models
4. Generating Videos with Scene Dynamics
5. Teaching machines to predict the future

• 参考论文

  1. Resnet模型，图像分类，超过人类的计算机识别水平。Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
  2. 图像检测 Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  3. 图像分割Conditional Random Fields as Recurrent Neural Networks
  4. 图像标注，看图说话 Show and Tell: A Neural Image Caption Generator
  5. 文字生成图像Generative Adversarial Text to Image Synthesis
  6. 强化学习玩flyppy bird Using Deep Q-Network to Learn How To Play Flappy Bird
  7. 强化学习玩Atari游戏 Playing Atari with Deep Reinforcement Learning
  8. 生成对抗网络 Generative Adversarial Networks
  9. 条件生成对抗网络Conditional Generative Adversarial Nets
  10. 生成对抗网络做图像超分辨率Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
  11. 深度卷积生成对抗网络Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
  12. 由图片推演视频Generating Videos with Scene Dynamics
  13. 视频预测和无监督学习Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

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