Abstract: Transformers have been an indispensable staple in deep learning. However, it is challenging to realize efficient deployment for Transformer-based model due to their substantial computation ...
Abstract: Predicting the remaining useful life (RUL) of rolling bearings is crucial to ensure the stable operation of equipment. In recent years, predictive methodologies that leverage intelligent ...
Update imagenet & OOD variant result csv files to include a few new models and verify correctness over several torch & timm versions EfficientNet-X and EfficientNet-H B5 model weights added as part of ...
Training-free Regional Prompting for Diffusion Transformers(Regional-Prompting-FLUX) enables Diffusion Transformers (i.e., FLUX) with find-grained compositional text-to-image generation capability in ...
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