AIBullisharXiv – CS AI · 18h ago7/10
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I-Segmenter: Integer-Only Vision Transformer for Efficient Semantic Segmentation
Researchers introduce I-Segmenter, the first fully integer-only Vision Transformer framework for semantic segmentation that eliminates floating-point operations to enable efficient deployment on resource-constrained devices. The model achieves only 5.1% accuracy loss compared to standard floating-point versions while reducing model size by 3.8x and improving inference speed by 1.2x, with a novel activation function addressing quantization challenges.