Paper Survey

Summary of the input papers in IMRAD format :

• Introduction: Why was the study undertaken? What problem was studied?
• Methods: How was the problem studied?
• Results: What were the findings?
• Discussions: What do these findings mean?

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Papers

Object Detection

• Paper Name
  • [paper]
  • [source code] (TensorFlow/PyTorch)
  • [summary]

Pose Estimation

• Paper Name
  • [paper]
  • [source code] (TensorFlow/PyTorch)
  • [summary]

Human Activity Recognition

• Paper Name
  • [paper]
  • [source code] (TensorFlow/PyTorch)
  • [summary]
• Real-world Anomaly Detection in Surveillance Videos
  • [paper] Waqas Sultani, Chen Chen, Mubarak Shah [2018CVPR]
  • [source code] (Keras)
  • [summary] by Darren Liou

General

• U-Net: Convolutional Networks for Biomedical Image Segmentation

  • [paper] Jonathan Long, Evan Shelhamer, Trevor Darrell [2017 CVPR]
  • [source code](PyTorch)
  • [summary] by Tim Chang

• MIXCONV: MIXED DEPTHWISE CONVOLUTIONAL KERNELS

  • [paper] Mingxing Tan, Quoc V. Le, Google Brain [2019 BMVC]
  • [summary] by Leo Liou