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of 337
pro vyhledávání: '"Dan, Jun"'
Due to the large-scale image size and object variations, current CNN-based and Transformer-based approaches for remote sensing image semantic segmentation are suboptimal for capturing the long-range dependency or limited to the complex computational
Externí odkaz:
http://arxiv.org/abs/2405.10530
Autor:
Xu, Chao, Liu, Yang, Xing, Jiazheng, Wang, Weida, Sun, Mingze, Dan, Jun, Huang, Tianxin, Li, Siyuan, Cheng, Zhi-Qi, Tai, Ying, Sun, Baigui
In this paper, we abstract the process of people hearing speech, extracting meaningful cues, and creating various dynamically audio-consistent talking faces, termed Listening and Imagining, into the task of high-fidelity diverse talking faces generat
Externí odkaz:
http://arxiv.org/abs/2403.01901
Tremendous breakthroughs have been developed in Semi-Supervised Semantic Segmentation (S4) through contrastive learning. However, due to limited annotations, the guidance on unlabeled images is generated by the model itself, which inevitably exists n
Externí odkaz:
http://arxiv.org/abs/2402.18117
Vision Transformers (ViTs) have demonstrated powerful representation ability in various visual tasks thanks to their intrinsic data-hungry nature. However, we unexpectedly find that ViTs perform vulnerably when applied to face recognition (FR) scenar
Externí odkaz:
http://arxiv.org/abs/2308.10133
Publikováno v:
In Knowledge-Based Systems 19 July 2024 296
Autor:
Dan, Jun, Jin, Tao, Chi, Hao, Liu, Mushui, Yu, Jiawang, Cao, Keying, Yang, Xinjing, Zhao, Luo, Xie, Haoran
Publikováno v:
In Neurocomputing 28 September 2024 599
Publikováno v:
In Neural Networks November 2023 168:518-530
Akademický článek
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Publikováno v:
In Knowledge-Based Systems 15 February 2023 261
Autor:
Duan, Wen-Ying, Peng, Kang, Qin, Hui-Min, Li, Bai-Ming, Xu, Yun-Xin, Wang, Dan-Jun, Yu, Le, Wang, Hui, Hu, Ji, Wang, Qing-Xiu
Publikováno v:
In British Journal of Anaesthesia October 2023