![](https://cvlab.dgist.ac.kr/wp-content/uploads/2022/11/datahungry-1024x572.png)
Data hungry – Un/Semi/Weakly-supervised learning
This biases vision researchers to work on tasks where annotation is easy instead of tasks that are important
![](https://cvlab.dgist.ac.kr/wp-content/uploads/2022/11/generalization2-1024x514.png)
Generalization issue – Sensor/Environment changes
Deep Nets perform well on benchmark datasets, but can fail badly on real-world images outside the dataset
Efficient learning – Multi-task Learning, Dynamic Neural Net
Real-world applications require efficient neural networks for multiple tasks to run simultaneously
![](https://cvlab.dgist.ac.kr/wordpress/wp-content/uploads/2021/03/d4-1024x338.png)