Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Ye, TianZhu"'
Transformer tends to overallocate attention to irrelevant context. In this work, we introduce Diff Transformer, which amplifies attention to the relevant context while canceling noise. Specifically, the differential attention mechanism calculates att
Externí odkaz:
http://arxiv.org/abs/2410.05258
Autor:
Han, Dongchen, Ye, Tianzhu, Han, Yizeng, Xia, Zhuofan, Pan, Siyuan, Wan, Pengfei, Song, Shiji, Huang, Gao
The attention module is the key component in Transformers. While the global attention mechanism offers high expressiveness, its excessive computational cost restricts its applicability in various scenarios. In this paper, we propose a novel attention
Externí odkaz:
http://arxiv.org/abs/2312.08874
Autor:
Li, Linze, Fan, Sunqi, Pu, Hengjun, Bing, Zhaodong, Tang, Yao, Ye, Tianzhu, Yang, Tong, Chen, Liangyu, Liang, Jiajun
Over recent years, diffusion models have facilitated significant advancements in video generation. Yet, the creation of face-related videos still confronts issues such as low facial fidelity, lack of frame consistency, limited editability and uncontr
Externí odkaz:
http://arxiv.org/abs/2312.03775
Although vision transformers (ViTs) have shown promising results in various computer vision tasks recently, their high computational cost limits their practical applications. Previous approaches that prune redundant tokens have demonstrated a good tr
Externí odkaz:
http://arxiv.org/abs/2304.10716
Self-attention mechanism has been a key factor in the recent progress of Vision Transformer (ViT), which enables adaptive feature extraction from global contexts. However, existing self-attention methods either adopt sparse global attention or window
Externí odkaz:
http://arxiv.org/abs/2304.04237
Recent years have witnessed the fast development of large-scale pre-training frameworks that can extract multi-modal representations in a unified form and achieve promising performances when transferred to downstream tasks. Nevertheless, existing app
Externí odkaz:
http://arxiv.org/abs/2210.08901
Autor:
Ye, Tianzhu1 (AUTHOR), Zhou, Liping2,3 (AUTHOR), Jiang, Shan4 (AUTHOR), Jiang, Zhibin2,3,5 (AUTHOR) zbjiang@sjtu.edu.cn
Publikováno v:
International Journal of Production Research. Mar2024, Vol. 62 Issue 6, p2176-2201. 26p.
Autor:
Xiao, Keyan, Xing, Shuwen, Bagas, Leon, Sun, Li, Li, Nan, Yin, Jiangning, Cui, Ning, Cong, Yuan, Li, Jian, Chen, Yuchuan, Ye, TianZhu
Publikováno v:
In Ore Geology Reviews December 2017 91:1084-1093
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Akademický článek
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