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Trio-ViT: Post-Training Quantization and Acceleration for Softmax-Free Efficient Vision Transformer
Motivated by the huge success of Transformers in the field of natural language processing (NLP), Vision Transformers (ViTs) have been rapidly developed and achieved remarkable performance in various computer vision tasks.
An FPGA-Based Reconfigurable Accelerator for Convolution-Transformer Hybrid EfficientViT
Vision Transformers (ViTs) have achieved significant success in computer vision.
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