This is an implementation of SimCLR for Anime Contrastive Learning. The goal of this project is to build a model that understand the general feature of anime compared to sketch using semi-supervised learning, letting the model to learn how to classify which image is anime or not. Open pytorch-simclr folder for details from the original pytorch simclr author.
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This is an implementation of SimCLR for Anime Contrastive Learning. The goal of this project is to build a model that understand the general feature of anime compared to sketch using semi-supervised learning, letting the model to learn how to classify which image is anime or not.
echelon2718/SimCLR-Anime-Contrastive-Learning
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This is an implementation of SimCLR for Anime Contrastive Learning. The goal of this project is to build a model that understand the general feature of anime compared to sketch using semi-supervised learning, letting the model to learn how to classify which image is anime or not.
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