SparseContrast uses a saliency-guided dynamic sparse attention mechanism inside contrastive learning to cut training and inference time by up to 40% while matching or exceeding accuracy on chest X-ray tasks.
Principles of medical imaging
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SparseContrast: Dynamic Sparse Attention for Efficient and Accurate Contrastive Learning in Medical Imaging
SparseContrast uses a saliency-guided dynamic sparse attention mechanism inside contrastive learning to cut training and inference time by up to 40% while matching or exceeding accuracy on chest X-ray tasks.