# Suggested knowledge

### Papers below is the classic paper you must read

* [Feature Pyramid Networks for Object Detection](https://arxiv.org/abs/1612.03144)
* [Generative Adversarial Networks](https://arxiv.org/abs/1406.2661)
* [Attention Is All You Need](https://arxiv.org/abs/1706.03762)
* [Vision Transformer](https://arxiv.org/abs/2010.11929)
* [Swin Transformer](https://arxiv.org/abs/2103.14030)
* [Dynamic Filter Networks](https://arxiv.org/abs/1605.09673)
* [Deformable Convolutional Network](https://arxiv.org/abs/1703.06211)

### Some basic concepts in deep learning
`There are a lots of multerials about the concepts online. `
`Go search by yourself !!!`

* Autoencoder
* Maximum Likelihood
* Shannon Entropy **Information Theory**
* KL Divergence
* VAE **(Varational autoencoder)**
* GAN
* FLOW model
* diffusion model