✏️Title:
#Unsupervised #Representation Learning with #Deep #Convolutional #Generative #Adversarial Networks
✏️abstract:
In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications. Comparatively, unsupervised learning with CNNs has received less attention. In this work we hope to help bridge the gap between the success of CNNs for supervised learning and unsupervised learning. We introduce a class of CNNs called deep convolutional generative adversarial networks (DCGANs), that have certain architectural constraints, and demonstrate that they are a strong candidate for unsupervised learning. Training on various image datasets, we show convincing evidence that our deep convolutional adversarial pair learns a hierarchy of representations from object parts to scenes in both the generator and discriminator. Additionally, we use the learned features for novel tasks - demonstrating their applicability as general image representations.
🔗https://arxiv.org/pdf/1511.06434v2.pdf
"Under review as a conference paper at ICLR 2016"
#Unsupervised #Representation Learning with #Deep #Convolutional #Generative #Adversarial Networks
✏️abstract:
In recent years, supervised learning with convolutional networks (CNNs) has seen huge adoption in computer vision applications. Comparatively, unsupervised learning with CNNs has received less attention. In this work we hope to help bridge the gap between the success of CNNs for supervised learning and unsupervised learning. We introduce a class of CNNs called deep convolutional generative adversarial networks (DCGANs), that have certain architectural constraints, and demonstrate that they are a strong candidate for unsupervised learning. Training on various image datasets, we show convincing evidence that our deep convolutional adversarial pair learns a hierarchy of representations from object parts to scenes in both the generator and discriminator. Additionally, we use the learned features for novel tasks - demonstrating their applicability as general image representations.
🔗https://arxiv.org/pdf/1511.06434v2.pdf
"Under review as a conference paper at ICLR 2016"
#مقاله #سورس_کد
SimCLR - A Simple Framework for Contrastive Learning of Visual Representations https://arxiv.org/abs/2002.05709
کدها با tensorflow
https://github.com/google-research/simclr
مقاله
https://arxiv.org/pdf/2002.05709.pdf
#simclr #contrastive_learnig #representation_learning #self_supervised_learning #unsupervised_learning #computer_vision #metric_learning
SimCLR - A Simple Framework for Contrastive Learning of Visual Representations https://arxiv.org/abs/2002.05709
کدها با tensorflow
https://github.com/google-research/simclr
مقاله
https://arxiv.org/pdf/2002.05709.pdf
#simclr #contrastive_learnig #representation_learning #self_supervised_learning #unsupervised_learning #computer_vision #metric_learning
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#آموزش #مقاله
قبلا در اینجا مقاله و سورس کد(با تنسرفلو) SimpleCLR معرفی شد...
این روش یک رویکرد جدید برای یادگیری self-supervised وsemi-supervised است که بدون نیاز به داده های لیبل خورده بازنمایی‌های خوبی برای تصویر را می‌تواند بیاموزد!
همچنین با fine-tuned کردن آن روی فقط 1٪ از داده های label خورده‌ی imagenet، به دقت رقابتی خیلی بالا رسیده است.
در بلاگ پست گوگل بیشتر بخوانید:
Advancing Self-Supervised and Semi-Supervised Learning with SimCLR
https://ai.googleblog.com/2020/04/advancing-self-supervised-and-semi.html
#simclr #contrastive_learnig #representation_learning #self_supervised_learning #unsupervised_learning #computer_vision #metric_learning
قبلا در اینجا مقاله و سورس کد(با تنسرفلو) SimpleCLR معرفی شد...
این روش یک رویکرد جدید برای یادگیری self-supervised وsemi-supervised است که بدون نیاز به داده های لیبل خورده بازنمایی‌های خوبی برای تصویر را می‌تواند بیاموزد!
همچنین با fine-tuned کردن آن روی فقط 1٪ از داده های label خورده‌ی imagenet، به دقت رقابتی خیلی بالا رسیده است.
در بلاگ پست گوگل بیشتر بخوانید:
Advancing Self-Supervised and Semi-Supervised Learning with SimCLR
https://ai.googleblog.com/2020/04/advancing-self-supervised-and-semi.html
#simclr #contrastive_learnig #representation_learning #self_supervised_learning #unsupervised_learning #computer_vision #metric_learning