A common pipeline
Choose DL architecture
Load pretrained weights from models trained on ImageNet
Label/Annotate some data
Finetune your model
2 Problems
Transfer learning - ImageNet weights
Limited budget - Limited task labels
Synthetic data
Domain Adaptation
Active Learning
Label propagation
Weakly supervised learning
Interactive annotation
Human in the loop
Self-supervised Learning
Multimodal Learning
Unsupervised Learning