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    <title>GitHub - google-research/vision_transformer</title>
    <dc:date>2022-03-04T23:51:28+00:00</dc:date>
    <link>https://github.com/google-research/vision_transformer</link>
    <dc:creator>amy</dc:creator><description><![CDATA[Update (2.7.2021): Added the "When Vision Transformers Outperform ResNets..." paper, and SAM (Sharpness-Aware Minimization) optimized ViT and MLP-Mixer checkpoints.

Update (20.6.2021): Added the "How to train your ViT? ..." paper, and a new Colab to explore the >50k pre-trained and fine-tuned checkpoints mentioned in the paper.

Update (18.6.2021): This repository was rewritten to use Flax Linen API and ml_collections.ConfigDict for configuration.

In this repository we release models from the papers

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
MLP-Mixer: An all-MLP Architecture for Vision
How to train your ViT? Data, Augmentation, and Regularization in Vision Transformers
When Vision Transformers Outperform ResNets without Pretraining or Strong Data Augmentations
The models were pre-trained on the ImageNet and ImageNet-21k datasets. We provide the code for fine-tuning the released models in JAX/Flax.]]></description>
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    <title>[2010.11929] An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale</title>
    <dc:date>2022-03-04T23:49:24+00:00</dc:date>
    <link>https://arxiv.org/abs/2010.11929</link>
    <dc:creator>amy</dc:creator><description><![CDATA[While the Transformer architecture has become the de-facto standard for natural language processing tasks, its applications to computer vision remain limited. In vision, attention is either applied in conjunction with convolutional networks, or used to replace certain components of convolutional networks while keeping their overall structure in place. We show that this reliance on CNNs is not necessary and a pure transformer applied directly to sequences of image patches can perform very well on image classification tasks. When pre-trained on large amounts of data and transferred to multiple mid-sized or small image recognition benchmarks (ImageNet, CIFAR-100, VTAB, etc.), Vision Transformer (ViT) attains excellent results compared to state-of-the-art convolutional networks while requiring substantially fewer computational resources to train.
]]></description>
<dc:subject>machine_learning google transformers image_processing</dc:subject>
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    <title>Make PNG Transparent - Online PNG Tools</title>
    <dc:date>2019-08-25T16:28:27+00:00</dc:date>
    <link>https://onlinepngtools.com/create-transparent-png</link>
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    <title>Progressive Growing of GANs for Improved Quality, Stability, and Variation | Research</title>
    <dc:date>2017-10-28T14:24:35+00:00</dc:date>
    <link>http://research.nvidia.com/publication/2017-10_Progressive-Growing-of</link>
    <dc:creator>amy</dc:creator><dc:subject>machine_learning image_processing Nvidia papers toread</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:5100d3b618e7/</dc:identifier>
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<item rdf:about="https://github.com/junyanz/CycleGAN">
    <title>junyanz/CycleGAN: Software that generates photos from paintings, turns horses into zebras, performs style transfer, and more (from UC Berkeley)</title>
    <dc:date>2017-04-03T16:39:22+00:00</dc:date>
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    <dc:creator>amy</dc:creator><description><![CDATA[Software that generates photos from paintings, turns horses into zebras, performs style transfer, and more (from UC Berkeley)]]></description>
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<item rdf:about="http://vimeo.com/29348533">
    <title>Face Substitution on Vimeo</title>
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    <link>http://vimeo.com/29348533</link>
    <dc:creator>amy</dc:creator><dc:subject>cool image_processing</dc:subject>
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    <title>ImageOptim – a PNG/JPEG/GIF optimizer for Mac OS X</title>
    <dc:date>2010-07-09T12:11:36+00:00</dc:date>
    <link>http://imageoptim.pornel.net/</link>
    <dc:creator>amy</dc:creator><dc:subject>osx software image_processing</dc:subject>
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    <title>Google Goggles - Use pictures to search the web</title>
    <dc:date>2010-02-24T14:39:54+00:00</dc:date>
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<item rdf:about="http://image-swirl.googlelabs.com/">
    <title>Google Image Swirl</title>
    <dc:date>2009-11-25T16:06:05+00:00</dc:date>
    <link>http://image-swirl.googlelabs.com/</link>
    <dc:creator>amy</dc:creator><dc:subject>google search images image_processing</dc:subject>
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<item rdf:about="http://tineye.com/">
    <title>TinEye Reverse Image Search</title>
    <dc:date>2009-10-27T17:25:28+00:00</dc:date>
    <link>http://tineye.com/</link>
    <dc:creator>amy</dc:creator><dc:subject>photography web_services image_processing images copyright</dc:subject>
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<item rdf:about="http://antwrp.gsfc.nasa.gov/apod/ap091021.html">
    <title>APOD: 2009 October 21 -Martian Dust Devil Trails</title>
    <dc:date>2009-10-21T15:54:56+00:00</dc:date>
    <link>http://antwrp.gsfc.nasa.gov/apod/ap091021.html</link>
    <dc:creator>amy</dc:creator><dc:subject>cool photography astronomy science image_processing</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:f8ec3c3af9a6/</dc:identifier>
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<item rdf:about="http://aviary.com/dashboard">
    <title>Aviary - Welcome!</title>
    <dc:date>2009-05-09T21:34:10+00:00</dc:date>
    <link>http://aviary.com/dashboard</link>
    <dc:creator>amy</dc:creator><description><![CDATA[uses flex]]></description>
<dc:subject>photography cool image_processing web_services api</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:6ea4efebdf93/</dc:identifier>
<taxo:topics><rdf:Bag>	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:photography"/>
	<rdf:li rdf:resource="https://pinboard.in/u:amy/t:cool"/>
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<item rdf:about="http://www.environmentalgraffiti.com/featured/images-inside-human-body-images/8292">
    <title>15 Microscopic Images from Inside the Human Body [photography]</title>
    <dc:date>2009-04-23T14:14:18+00:00</dc:date>
    <link>http://www.environmentalgraffiti.com/featured/images-inside-human-body-images/8292</link>
    <dc:creator>amy</dc:creator><dc:subject>cool image_processing photography biology</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:98ffb22909e7/</dc:identifier>
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<item rdf:about="http://aviary.com/home">
    <title>Welcome to Aviary</title>
    <dc:date>2009-03-16T22:39:08+00:00</dc:date>
    <link>http://aviary.com/home</link>
    <dc:creator>amy</dc:creator><dc:subject>image_processing web_app</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:5242f380c210/</dc:identifier>
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<item rdf:about="http://www.pinktentacle.com/2008/12/scientists-extract-images-directly-from-brain/">
    <title>Scientists extract images directly from brain ::: Pink Tentacle</title>
    <dc:date>2008-12-14T22:21:09+00:00</dc:date>
    <link>http://www.pinktentacle.com/2008/12/scientists-extract-images-directly-from-brain/</link>
    <dc:creator>amy</dc:creator><dc:subject>whoa cool neuroscience image_processing</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:c83b65915490/</dc:identifier>
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<item rdf:about="http://osxbook.com/book/bonus/chapter11/grabfs/">
    <title>GrabFS: The Screenshot File System</title>
    <dc:date>2008-02-09T01:12:37+00:00</dc:date>
    <link>http://osxbook.com/book/bonus/chapter11/grabfs/</link>
    <dc:creator>amy</dc:creator><dc:subject>storage osx software image_processing</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:5b087fdb25df/</dc:identifier>
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<item rdf:about="http://vectormagic.stanford.edu/">
    <title>VectorMagic</title>
    <dc:date>2007-11-09T13:19:30+00:00</dc:date>
    <link>http://vectormagic.stanford.edu/</link>
    <dc:creator>amy</dc:creator><description><![CDATA[very cool...]]></description>
<dc:subject>photography image_processing cool</dc:subject>
<dc:identifier>https://pinboard.in/u:amy/b:9507f25a82c2/</dc:identifier>
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