.. _sphx_glr_auto_examples_self-supervised-learning:

Self-Supervised Learning
-------------------------------




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    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates various geometric image transformations implemented in deepinv that can be used in Equivariant Imaging (EI) for self-supervised learning:">

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  .. image:: /auto_examples/self-supervised-learning/images/thumb/sphx_glr_demo_ei_transforms_thumb.png
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  :ref:`sphx_glr_auto_examples_self-supervised-learning_demo_ei_transforms.py`

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      <div class="sphx-glr-thumbnail-title">Image transformations for Equivariant Imaging</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="We demonstrate self-supervised learning with measurement splitting, to train a denoiser network on the MNIST dataset. The physics here is noisy computed tomography, as is the case in Noise2Inverse. Note this example can also be easily applied to undersampled multicoil MRI as is the case in SSDU.">

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  .. image:: /auto_examples/self-supervised-learning/images/thumb/sphx_glr_demo_splitting_loss_thumb.png
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  :ref:`sphx_glr_auto_examples_self-supervised-learning_demo_splitting_loss.py`

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      <div class="sphx-glr-thumbnail-title">Self-supervised learning with measurement splitting</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="We demonstrate the self-supervised Artifact2Artifact loss for solving an undersampled sequential MRI reconstruction problem without ground truth.">

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  .. image:: /auto_examples/self-supervised-learning/images/thumb/sphx_glr_demo_artifact2artifact_thumb.png
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  :ref:`sphx_glr_auto_examples_self-supervised-learning_demo_artifact2artifact.py`

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      <div class="sphx-glr-thumbnail-title">Self-supervised MRI reconstruction with Artifact2Artifact</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows you how to train a denoiser network in a fully self-supervised way, i.e., using noisy images with unknown noise level only via the UNSURE loss, which is introduced in https://arxiv.org/abs/2409.01985.">

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  .. image:: /auto_examples/self-supervised-learning/images/thumb/sphx_glr_demo_unsure_thumb.png
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  :ref:`sphx_glr_auto_examples_self-supervised-learning_demo_unsure.py`

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      <div class="sphx-glr-thumbnail-title">Self-supervised denoising with the UNSURE loss.</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows you how to train a denoiser network in a fully self-supervised way, i.e., using noisy images only via the SURE loss, which exploits knowledge about the noise distribution.">

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  .. image:: /auto_examples/self-supervised-learning/images/thumb/sphx_glr_demo_sure_denoising_thumb.png
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  :ref:`sphx_glr_auto_examples_self-supervised-learning_demo_sure_denoising.py`

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      <div class="sphx-glr-thumbnail-title">Self-supervised denoising with the SURE loss.</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows you how to train a denoiser network in a fully self-supervised way, i.e., using noisy images only via the Neighbor2Neighbor loss, which exploits the local correlation of natural images.">

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  .. image:: /auto_examples/self-supervised-learning/images/thumb/sphx_glr_demo_n2n_denoising_thumb.png
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  :ref:`sphx_glr_auto_examples_self-supervised-learning_demo_n2n_denoising.py`

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      <div class="sphx-glr-thumbnail-title">Self-supervised denoising with the Neighbor2Neighbor loss.</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows you how to train a reconstruction network for an MRI inverse problem on a fully self-supervised way, i.e., using measurement data only.">

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  .. image:: /auto_examples/self-supervised-learning/images/thumb/sphx_glr_demo_equivariant_imaging_thumb.png
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  :ref:`sphx_glr_auto_examples_self-supervised-learning_demo_equivariant_imaging.py`

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      <div class="sphx-glr-thumbnail-title">Self-supervised learning with Equivariant Imaging for MRI.</div>
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    <div class="sphx-glr-thumbcontainer" tooltip="This example shows you how to train a reconstruction network for an inpainting inverse problem on a fully self-supervised way, i.e., using measurement data only.">

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  .. image:: /auto_examples/self-supervised-learning/images/thumb/sphx_glr_demo_multioperator_imaging_thumb.png
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  :ref:`sphx_glr_auto_examples_self-supervised-learning_demo_multioperator_imaging.py`

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      <div class="sphx-glr-thumbnail-title">Self-supervised learning from incomplete measurements of multiple operators.</div>
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    </div>


.. toctree::
   :hidden:

   /auto_examples/self-supervised-learning/demo_ei_transforms
   /auto_examples/self-supervised-learning/demo_splitting_loss
   /auto_examples/self-supervised-learning/demo_artifact2artifact
   /auto_examples/self-supervised-learning/demo_unsure
   /auto_examples/self-supervised-learning/demo_sure_denoising
   /auto_examples/self-supervised-learning/demo_n2n_denoising
   /auto_examples/self-supervised-learning/demo_equivariant_imaging
   /auto_examples/self-supervised-learning/demo_multioperator_imaging