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Code for the article ''Incorporating simulated spatial context information improves the effectiveness of contrastive learning models''
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Description: All the code and checkpoints for the paper "Context-driven self-supervised visual learning: Harnessing the environment as a data source".
Context-driven self-supervised visual learning: Harnessing the environment as a data source
A contrastive learning model utilizing spatiotemporal context as a similarity signal and a pipeline constructing image datasets using an embodied sampling agent. The datasets have been deposited at https://osf.io/w98gq/.
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/checkpoint: both contrastive training and downstream classif…
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Datasets for the article ''Incorporating simulated spatial context information improves the effectiveness of contrastive learning models''
All the datasets for the paper "Context-driven self-supervised visual learning: Harnessing the environment as a data source".
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