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pro vyhledávání: '"Wang,Zhihua"'
Clinical rationales play a pivotal role in accurate disease diagnosis; however, many models predominantly use discriminative methods and overlook the importance of generating supportive rationales. Rationale distillation is a process that transfers k
Externí odkaz:
http://arxiv.org/abs/2411.07611
Implicit Neural Representation (INR) has gained increasing popularity as a data representation method, serving as a prerequisite for innovative generation models. Unlike gradient-based methods, which exhibit lower efficiency in inference, the adoptio
Externí odkaz:
http://arxiv.org/abs/2407.15355
Autor:
Yang, Ruijie, Zhu, Yan, Fu, Peiyao, Zhang, Yizhe, Wang, Zhihua, Li, Quanlin, Zhou, Pinghong, Yang, Xian, Wang, Shuo
Determining the necessity of resecting malignant polyps during colonoscopy screen is crucial for patient outcomes, yet challenging due to the time-consuming and costly nature of histopathology examination. While deep learning-based classification mod
Externí odkaz:
http://arxiv.org/abs/2407.11401
Contemporary color difference (CD) measures for photographic images typically operate by comparing co-located pixels, patches in a ``perceptually uniform'' color space, or features in a learned latent space. Consequently, these measures inadequately
Externí odkaz:
http://arxiv.org/abs/2407.10181
Autor:
Zhou, Yingjie, Zhang, Zicheng, Sun, Wei, Liu, Xiaohong, Min, Xiongkuo, Wang, Zhihua, Zhang, Xiao-Ping, Zhai, Guangtao
In the realm of media technology, digital humans have gained prominence due to rapid advancements in computer technology. However, the manual modeling and control required for the majority of digital humans pose significant obstacles to efficient dev
Externí odkaz:
http://arxiv.org/abs/2404.09003
The past years have witnessed a proliferation of large language models (LLMs). Yet, automated and unbiased evaluation of LLMs is challenging due to the inaccuracy of standard metrics in reflecting human preferences and the inefficiency in sampling in
Externí odkaz:
http://arxiv.org/abs/2404.08008
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs, 2021, 69(1): 224-228
This paper proposed LightSleepNet - a light-weight, 1-d Convolutional Neural Network (CNN) based personalized architecture for real-time sleep staging, which can be implemented on various mobile platforms with limited hardware resources. The proposed
Externí odkaz:
http://arxiv.org/abs/2401.13194
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs, 2022, 69(11): 4608-4612
This paper proposed a Multi-Channel Multi-Domain (MCMD) based knowledge distillation algorithm for sleep staging using single-channel EEG. Both knowledge from different domains and different channels are learnt in the proposed algorithm, simultaneous
Externí odkaz:
http://arxiv.org/abs/2401.03430
Surface roughness and dielectric properties are crucial in characterizing radar backscattering from bare soil surfaces. However, their estimation depends on the surface size of the sampling profile, and the complex relative permittivity is disturbed
Externí odkaz:
http://arxiv.org/abs/2312.16105
Machine learning-assisted retrosynthesis prediction models have been gaining widespread adoption, though their performances oftentimes degrade significantly when deployed in real-world applications embracing out-of-distribution (OOD) molecules or rea
Externí odkaz:
http://arxiv.org/abs/2312.10900