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jiawangbai/HAT

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HAT

Features

  • Self-Supervised Pretraining - Improves transformers by revisiting high-frequency components.

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Frequently asked questions

What are the main features of jiawangbai/hat?

The main features of jiawangbai/hat are: Self-Supervised Pretraining.

What are some open-source alternatives to jiawangbai/hat?

Open-source alternatives to jiawangbai/hat include: alinlab/selfpatch. alpha-vl/convmae. apple/ml-aim — This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects. arshadshk/position-prediction-pretraining. beckschen/transmix — This repository includes the official project for the paper: TransMix: Attend to Mix for Vision Transformers, CVPR 2022. aimagelab/mapet.

Open-source alternatives to HAT

Similar open-source projects, ranked by how many features they share with HAT.
  • alinlab/selfpatchA

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  • alpha-vl/convmaeA

    Alpha-VL/ConvMAE

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  • apple/ml-aimapple avatar

    apple/ml-aim

    1,426View on GitHub↗

    This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.

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  • aimagelab/mapetA

    aimagelab/MaPeT

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