P3 ViT: A CIM-Based High-Utilization Architecture With Dynamic Pruning and Two-Way Ping-Pong Macro for Vision Transformer

Transformers have made remarkable contributions to natural language processing (NLP) and many other fields. Recently, transformer-based models have achieved state-of-the-art (SOTA) performance on computer vision tasks compared with traditional convolutional neural networks (CNNs). Unfortunately, exi...

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Veröffentlicht in:IEEE transactions on circuits and systems. I, Regular papers Regular papers, 2023-12, Vol.70 (12), p.4938-4948
Hauptverfasser: Fu, Xiangqu, Ren, Qirui, Wu, Hao, Xiang, Feibin, Luo, Qing, Yue, Jinshan, Chen, Yong, Zhang, Feng
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Sprache:eng
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