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Roadmap of MMClassification #4
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warm up and more pretrained models |
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tricks like mix-up, auto-augmentation, and etc.. |
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convert model to onnx. |
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EfficientNet, that could serve as backbone for mmdetection as well |
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some Nerual Architecture Search algorithms which could be implement on one GPU, like ENAS |
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multi-brach for multi-task learning |
I think pytorch 1.5 supports it. torch.onnx |
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darknet networks and data aug, like darknet53, mosaic, cutmix, mixup |
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benchmark on cifar10 and cifar100 |
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Could you support HRNet? |
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Multi-label classification |


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