Zobrazeno 1 - 10
of 263
pro vyhledávání: '"Yin Weidong"'
Large language models (LLMs) have made significant progress in natural language understanding and generation, driven by scalable pretraining and advanced finetuning. However, enhancing reasoning abilities in LLMs, particularly via reinforcement learn
Externí odkaz:
http://arxiv.org/abs/2410.02229
Pioneering dual-encoder pre-training works (e.g., CLIP and ALIGN) have revealed the potential of aligning multi-modal representations with contrastive learning. However, these works require a tremendous amount of data and computational resources (e.g
Externí odkaz:
http://arxiv.org/abs/2112.09331
Autor:
Cao, Chen, Liu, Pengwei, Zou, Yuanqiang, Liao, Fuyu, Luo, Hengjun, Zhang, Jiaji, Zhao, Zisong, Xiang, Wei, Yin, Weidong, Xiao, Yaohong, Liu, Xingang, Song, Lijun
Publikováno v:
In Journal of Materials Research and Technology November-December 2024 33:2812-2830
Publikováno v:
In Journal of the Mechanical Behavior of Biomedical Materials June 2024 154
Autor:
Zhu, Yihong, Ye, Zecong, Wang, Ruicheng, Liu, Bo, Yin, Weidong, Xing, Longjiang, Lu, Ziquan, Liu, Xiaolong, Huo, Yanping, Ji, Shaomin
Publikováno v:
In Dyes and Pigments June 2024 225
Autor:
Zheng, Chao, Zhang, Benjian, Li, Rongrong, Yin, Hong, Wang, Yufeng, Hu, Xin, Chen, Xiao, Liu, Ran, Zeng, Qi, Sun, Zhiyun, Zhang, Rui, Zhang, Xingyu, Yin, Weidong, Zhang, Kun
Publikováno v:
In Energy Geoscience April 2024 5(2)
Despite significant progress, controlled generation of complex images with interacting people remains difficult. Existing layout generation methods fall short of synthesizing realistic person instances; while pose-guided generation approaches focus o
Externí odkaz:
http://arxiv.org/abs/2008.12679
Akademický článek
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We address the problem of instance-level facial attribute transfer without paired training data, e.g. faithfully transferring the exact mustache from a source face to a target face. This is a more challenging task than the conventional semantic-level
Externí odkaz:
http://arxiv.org/abs/1811.12670
Despite significant recent progress on generative models, controlled generation of images depicting multiple and complex object layouts is still a difficult problem. Among the core challenges are the diversity of appearance a given object may possess
Externí odkaz:
http://arxiv.org/abs/1811.11389