├── README.md
├── container.jpg
└── conv_mlp_transformer.jpg


/README.md:
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 1 | # Container: Context Aggregation Network
 2 | 
 3 | Official Code Release for Container : Context Aggregation Network
 4 | 
 5 | # Comparion between CNN, MLP-Mixer and Transformer
 6 | ![Container](conv_mlp_transformer.jpg)
 7 | # Best of both worlds
 8 | ![Container](container.jpg)
 9 | 
10 | Code release:
11 | 
12 | 1. Imagenet pretrained model for Container V1 : [Container V1](https://github.com/allenai/container)
13 | 2. Imagenet pretrained model for Container V2 : [Container V2](https://github.com/gaopengcuhk/Contianer-V2)
14 | 
15 | 
16 | 
17 | ## Citation
18 | If you find this repository useful, please consider citing our work:
19 | ```
20 | @article{gao2021container,
21 |   title={Container: Context Aggregation Network},
22 |   author={Gao, Peng and Lu, Jiasen and Li, Hongsheng and Mottaghi, Roozbeh and Kembhavi, Aniruddha},
23 |   journal={arXiv preprint arXiv:2106.01401},
24 |   year={2021}
25 | }
26 | ```
27 | 
28 | ## News
29 | Container got accepted by [Neuips 2021](https://nips.cc/Conferences/2021).
30 | 
31 | ## Contributor
32 | Peng Gao
33 | 
34 | ## Acknowledgement
35 | The codebase are borrowed heavyily from DeiT.
36 | 
37 | 


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/container.jpg:
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https://raw.githubusercontent.com/gaopengcuhk/Container/62a162ccea94efc922b0ee7843954cf40c585f2e/container.jpg


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/conv_mlp_transformer.jpg:
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https://raw.githubusercontent.com/gaopengcuhk/Container/62a162ccea94efc922b0ee7843954cf40c585f2e/conv_mlp_transformer.jpg


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