Zobrazeno 1 - 10
of 600
pro vyhledávání: '"Zhou Luping"'
Publikováno v:
He jishu, Vol 44, Iss 9, Pp 60-67 (2021)
BackgroundChina Spallation Neutron Source (CSNS) based on the spallation reaction is a large multidisciplinary research facility, which has been constructed and commissioned since August 2018. Experimental Muon Source (EMuS) is one of the important r
Externí odkaz:
https://doaj.org/article/c51f9674a9b04a1ebd612af25693a1f2
Autor:
Yue, Xiaoyu, Wang, Zidong, Lu, Zeyu, Sun, Shuyang, Wei, Meng, Ouyang, Wanli, Bai, Lei, Zhou, Luping
Conventional class-guided diffusion models generally succeed in generating images with correct semantic content, but often struggle with texture details. This limitation stems from the usage of class priors, which only provide coarse and limited cond
Externí odkaz:
http://arxiv.org/abs/2410.08531
Class Incremental Semantic Segmentation (CISS) aims to mitigate catastrophic forgetting by maintaining a balance between previously learned and newly introduced knowledge. Existing methods, primarily based on regularization techniques like knowledge
Externí odkaz:
http://arxiv.org/abs/2409.08516
Harnessing the robust capabilities of Large Language Models (LLMs) for narrative generation, logical reasoning, and common-sense knowledge integration, this study delves into utilizing LLMs to enhance automated radiology report generation (R2Gen). De
Externí odkaz:
http://arxiv.org/abs/2409.05370
Point cloud analysis has seen substantial advancements due to deep learning, although previous Transformer-based methods excel at modeling long-range dependencies on this task, their computational demands are substantial. Conversely, the Mamba offers
Externí odkaz:
http://arxiv.org/abs/2405.15463
Autor:
Chen, Tong, Lyu, Qingcheng, Bai, Long, Guo, Erjian, Gao, Huxin, Yang, Xiaoxiao, Ren, Hongliang, Zhou, Luping
Advances in endoscopy use in surgeries face challenges like inadequate lighting. Deep learning, notably the Denoising Diffusion Probabilistic Model (DDPM), holds promise for low-light image enhancement in the medical field. However, DDPMs are computa
Externí odkaz:
http://arxiv.org/abs/2405.10550
Content-adaptive compression is crucial for enhancing the adaptability of the pre-trained neural codec for various contents. Although these methods have been very practical in neural image compression (NIC), their application in neural video compress
Externí odkaz:
http://arxiv.org/abs/2405.04274
In recent years, automated radiology report generation has experienced significant growth. This paper introduces MRScore, an automatic evaluation metric tailored for radiology report generation by leveraging Large Language Models (LLMs). Conventional
Externí odkaz:
http://arxiv.org/abs/2404.17778
Objective: Conventional event positioning algorithms in light-sharing PET detectors are often limited by edge effects and the impact of inter-crystal scattering (ICS). This study explores the feasibility of deep neural network (DNN) techniques for mo
Externí odkaz:
http://arxiv.org/abs/2403.18240
While semi-supervised learning (SSL) has yielded promising results, the more realistic SSL scenario remains to be explored, in which the unlabeled data exhibits extremely high recognition difficulty, e.g., fine-grained visual classification in the co
Externí odkaz:
http://arxiv.org/abs/2312.12237