UM

Browse/Search Results:  1-3 of 3 Help

Selected(0)Clear Items/Page:    Sort:
GSB: Group superposition binarization for vision transformer with limited training samples Journal article
Gao, Tian, Xu, Cheng Zhong, Zhang, Le, Kong, Hui. GSB: Group superposition binarization for vision transformer with limited training samples[J]. Neural Networks, 2024, 172, 106133.
Authors:  Gao, Tian;  Xu, Cheng Zhong;  Zhang, Le;  Kong, Hui
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.0/7.9 | Submit date:2024/05/02
Group Superposition Binarization  Insufficient Training Data  Self-attention  Vision Transformer (Vit)  
P3 ViT: A CIM-Based High-Utilization Architecture With Dynamic Pruning and Two-Way Ping-Pong Macro for Vision Transformer Journal article
Fu, Xiangqu, Ren, Qirui, Wu, Hao, Xiang, Feibin, Luo, Qing, Yue, Jinshan, Chen, Yong, Zhang, Feng. P3 ViT: A CIM-Based High-Utilization Architecture With Dynamic Pruning and Two-Way Ping-Pong Macro for Vision Transformer[J]. IEEE Transactions on Circuits and Systems I: Regular Papers, 2023, 70(12), 4938-4948.
Authors:  Fu, Xiangqu;  Ren, Qirui;  Wu, Hao;  Xiang, Feibin;  Luo, Qing; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:5.2/4.5 | Submit date:2024/02/22
Accelerator  Cmos  Computing-in-memory (Cim)  Dynamic Prune  Prediction Network  Vision Transformer (Vit)  
A Local-Global Estimator based on Large Kernel CNN and Transformer for Human Pose Estimation and Running Pose Measurement Journal article
Qingtian Wu, Yongfei Wu, Yu Zhang, Liming Zhang. A Local-Global Estimator based on Large Kernel CNN and Transformer for Human Pose Estimation and Running Pose Measurement[J]. IEEE transactions on Instrumentation and Instrumentation & Measurement, 2022, 71, 1-12.
Authors:  Qingtian Wu;  Yongfei Wu;  Yu Zhang;  Liming Zhang
Favorite | TC[WOS]:0 TC[Scopus]:20  IF:5.6/5.6 | Submit date:2022/08/30
Convolutional Neural Networks (Cnn)  Human Pose Estimation (Hpe)  Local–global Estimator  Running Pose Measurement  Vision Transformer (Vit)