Computer Vision

CS231n

1. Image Classification
2. Loss Functions and Optimization
3. Back Propagation
4. Training Neural Networks
5. Training Neural Networks2
6. CNN
7. CNN Architectures
8. Localization, Detection
9. Visualizations, Adversarial examples
10. RNN, LSTM
11. CNNs in practice
12. Segmentation
13. Attention

Code

• Object Detection(YOLO)

Paper

Adversarial Attack

• Backdoor Attack
• HopSkipJumpAttack
• Shadow Attack
• Boosting Adversarial Attacks with Momentum

Model Robustness

• Improving Model Robustness

Object Detection

• Real-Time Flying Object Detection with YOLOv8

Kaggle

Multiclass Classification

• Brain Tumor Detection

Multilabel Classification

• Protein Atlas Image Classification