Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization

Research article (2022 32nd International Conference on Field-Programmable Logic and Applications (FPL), 2022) · cited 66× · AI/ML
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Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization

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Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. Retrieved May 24, 2026, from https://4ort.xyz/entity/auto-vit-acc-an-fpga-aware-automatic-acceleration-framework-for-vision-transformer-with-mixed-scheme-quantization
MLA “Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/auto-vit-acc-an-fpga-aware-automatic-acceleration-framework-for-vision-transformer-with-mixed-scheme-quantization.
BibTeX @misc{4ortxyz_auto-vit-acc-an-fpga-aware-automatic-acceleration-framework-for-vision-transformer-with-mixed-scheme-quantization_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization}}, year = {2026}, url = {https://4ort.xyz/entity/auto-vit-acc-an-fpga-aware-automatic-acceleration-framework-for-vision-transformer-with-mixed-scheme-quantization}, note = {Accessed: 2026-05-24}}
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