Dataset - LDM

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FLIP: A Method for Reducing Computation in Contrastive Language-Image Pre-tra...

This paper proposes a method called FLIP, which masks half or more patches of the training images to reduce computation by 2x and allow for the use of larger batch sizes.
- Dataset
- JSON
Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Trai...

This paper investigates the performance of the Contrastive Language-Image Pre-training (CLIP) when scaled down to limited computation budgets.
- Dataset
- JSON

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