Tag: Vision Transformers
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Vision Transformer Framework for Fluid Flow Prediction
Discover a novel Vision Transformer model that predicts fluid flows in energy systems, reducing CFD costs with high accuracy and multimodal data integratio...
Robust Object Representation with Two-Stage Vision Transformers
Discover how two-stage Vision Transformers and hard masking improve object representation robustness against contextual biases and out-of-distribution data...
Fast Distributed Training for Seismic Models on AWS
Discover how TGS accelerated seismic model training from 6 months to 5 days using Amazon SageMaker HyperPod with expanded context windows.
Tucker Attention: Efficient Generalized Approximate Mechanism
Discover Tucker Attention, a parameter-efficient generalization of approximate attention methods, enhancing performance in LLMs and vision transformers.
Tiny-ViT: Efficient Potato Leaf Disease Detection Model
Discover Tiny-ViT, a compact Vision Transformer for accurate, fast, and explainable potato leaf disease classification to boost crop health and yield.