AINeutralarXiv – CS AI · 3h ago6/10
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Not All NVFP4 QAT Recipes Are Equal: How Architecture and Scale Shape Model Quality for Anomaly Segmentation
Researchers at arXiv demonstrate that model architecture significantly impacts how well neural networks handle FP4 quantization for medical image analysis. Swin Transformers maintain quality across different quantization recipes and scales, while CNNs degrade under certain conditions, establishing practical guidelines for deploying efficient anomaly segmentation models.