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📄 ResearchMay 20, 2026

FTerViT: Fully Ternary Vision Transformer

Ternary Vision Transformers offer substantial model compression, however state-of-the-art methods only ternarize the encoder layers, leaving patch embeddings, LayerNorm parameters, and classifier heads in full precision. In compact models targeting resource-constrained processors, such as microcontr...

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Source

http://arxiv.org/abs/2605.21171v1