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Content including: Image Processing, Deep Learning, Computer Vision, Reinforcement Learning, and Robotics.

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Deep Learning

  1. AI Benchmark Detailed Analysis
  2. Super Resolution
    • SRCNN (Uploading)
    • SRGAN (Uploading)
    • ESPCN (Uploading)
    • EDSR (Uploading)
  3. Feature Extraction
    • Mobilenet (Uploading)
    • Resnet (Uploading)
    • VGG (Uploading)
  4. Object Detection
    • SSD (Uploading)
    • YOLO v1/v2/v3 (Uploading)
    • Faster-RCNN (Uploading)
  5. Segmentaion
    • ICNet (Uploading)
    • PSPNet (Uploading)
    • Deeplabv3-plus (Uploading)
    • Mask-RCNN (Uploading)
  6. Introduce to ONNX
  7. Image Inpainting and Classifying
  8. Octave Convolution

Computer Vision

  1. Human Detection with depth camera
  2. 3D Reconstruction
  3. Stereo Matching | Alignment + Rectifying
  4. Object Detection and Color Segmentation
  5. Image Inpainting and Classifying
  6. Image Recognition on MNIST

Image Processing

  1. Halide 图文教程
  2. Halide Official
  3. Camera Color Calibration
  4. Stereo Matching | Alignment + Rectifying
  5. Optica flow Lucas Kanade

Reinforcement Learning

  1. Deep Q Learning
  2. Deep Deterministic Policy Gradient
  3. Multi DDPG with Parameter Noise

Robotics && Machine Learning

  1. SLAM-Partical Filter
  2. Object segmentation by GMM and OpenCV
  3. Recommender System on yelp Challenge
  4. Image Recognition on MNIST
    • Neural Network
    • K-Nearest-Neighbor
    • SVM
    • Spatial Pyramid Matching
    • Deep Belif Network

Reference

  1. Awesome Face Recognition
  2. Awesome Semantic Segmentation

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Content including: Image Processing, Deep Learning, Computer Vision, Reinforcement Learning, and Robotics.

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