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Awesome-Representation-Learning-CV-PaperAndCode

Learning useful representations with the unsupervised or weakly supervised methods is a key challenge in artificial intelligence. The representation learning (RL) is helpful for most specific tasks like classification, recognition, detection, image editing, image retrieval, et al. in computer vision area. RL is mainly appeared in the learning good representations for down-stream task, disentangled representation/attributes, VAE, GAN, Flow-based model, image-translation, deep clustering papers. This repo mainly focuses on the lasted development in the RL area.

I hope this repo helps both you and me. If you find some mistakes, other novel or interesting works related to representation learning, please don't hesitate to issue or pull request.

Contents

Related Metrics

Related Survey

General Representation Learning

include self-supervised, contrastive learning, ...

In 2021
In 2020
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In 2015

Disentangled Representation

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Disassembling Object Representation

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VAE-based Method

In 2019
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GAN-based Method

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Flow-based Method

In 2019
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Image Translation

In 2020
In 2018

Deep Clustering

In 2019
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Other Related Method

In 2022

Resources