Computer Vision
  • Introduction
    • Neural network basics
    • MLE and Cross Entropy
    • Convolution basics
    • Neural Network Categories
  • 2D Backbones
    • ResNet
    • Transformer
      • Recurrent Neural Network
      • Vision Transformer
      • SwinTransformer
  • Methods for Object Detection
  • Object Detection
    • The R-CNN family
    • ROI pool & ROI align
    • FCOS
    • Object Detection in Detectron2
  • Segmentation
    • Fully Convolutional Network
    • Unet: image segmentation
  • Video Understanding
    • I3D: video understanding
    • Slowfast: video recognition
    • ActionFormer: temporal action localization
  • Generative models
    • Autoregressive model
    • Variational Auto-Encoder
    • Generative Adversarial Network
    • Diffusion Models
    • 3D Face Reconstruction
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Introduction

Let's learn together!

NextNeural network basics

Last updated 2 years ago

This is a place where I document the process of me exploring the field of machine learning and computer vision. I will link all the resources I have used and found helpful here. Hopefully, they will be beneficial to you as well!

  • Deep Learning in CV @UW-Madison ()

  • Dive into deep learning ()

  • Learn AI with Mu Li()

  • AI Coffee Break with Letitia ()

https://sites.google.com/view/cs639spring2023dlcv
https://d2l.ai/index.html
https://space.bilibili.com/1567748478/channel/
https://www.youtube.com/@AICoffeeBreak