| Date | Chapter | Section | Course Materials |
| Feb. 26 |
Computer Vision Overview and Deep Learning Basics |
Computer Vision Basics 计算机视觉基础
|
[slides]
|
| Feb. 26 |
Image and Video Processing 图像与视频处理 |
[slides]
|
| Mar. 5 |
Feature Detection 特征与检测 |
[slides]
|
| Mar. 12 |
CNN & High-level Feature Extraction 卷积神经网络及高层特征提取 |
[slides]
|
| Mar. 19 |
Training Framework and Model Optimization 训练框架与模型优化
|
[slides]
|
| Mar. 26 |
Advanced Computer Vision Tasks |
Image Classification 图像分类 |
[slides]
|
| Apr. 2 |
Object Detection 物体检测 |
[slides]
|
| Apr. 9 |
Image Segmentation 图像分割 |
[slides]
|
| Apr. 16 |
Video Understanding and Sequence Analysis 视频理解与时序分析 |
[slides]
|
| Apr. 23 |
Low-Level Computer Vision Task 底层视觉任务 |
[slides]
|
| May. 7 |
Neural network Model Compression 神经网络模型压缩 |
[slides]
|
| May. 14 |
3D Vision 三维视觉 |
[slides]
|
| May. 21 |
Representation Learning in Vision Tasks 视觉任务中的表征学习 |
[slides]
|
| May. 28 |
Lectures on cutting-edge technology and industry applications |
Smart City 智慧城市 |
[slides]
|
| Jun. 4 |
AutoPilot 自动驾驶 |
[slides]
|
| Jun. 11 |
3D Vision and Augmented Reality 三维视觉与增强现实 |
[slides]
|
| | | |
