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authoredMar 17, 2020
Update README.md
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‎README.md

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@@ -58,3 +58,5 @@ The increase in **RD cost** of our model is: 2.1% (tested only on one YUV sequen
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## To be continued...
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Since 1 label comes from a 16x16 CU, so we can simply predict 1 label at a time. The input can be a combination of 64x64, 32x32 and 16x16 CUs. I think this will achieve higher accuracy... Also, some pre-trained models like ResNet can be tried...
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If you find this repository useful, please give it a star! :heart:

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