When are Foundation Models Effective? Understanding the Suitability for Pixel-Level Classification Using Multispectral Imagery

Autor: Xie, Yiqun, Wang, Zhihao, Chen, Weiye, Li, Zhili, Jia, Xiaowei, Li, Yanhua, Wang, Ruichen, Chai, Kangyang, Li, Ruohan, Skakun, Sergii

Foundation models, i.e., very large deep learning models, have demonstrated impressive performances in various language and vision tasks that are otherwise difficult to reach using smaller-size models. The major success of GPT-type of language models

Externí odkaz: http://arxiv.org/abs/2404.11797

A Unified HDR Imaging Method with Pixel and Patch Level

Autor: Yan, Qingsen, Chen, Weiye, Zhang, Song, Zhu, Yu, Sun, Jinqiu, Zhang, Yanning

Mapping Low Dynamic Range (LDR) images with different exposures to High Dynamic Range (HDR) remains nontrivial and challenging on dynamic scenes due to ghosting caused by object motion or camera jitting. With the success of Deep Neural Networks (DNNs

Externí odkaz: http://arxiv.org/abs/2304.06943

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

Autor: Pérez-Pellitero, Eduardo, Catley-Chandar, Sibi, Shaw, Richard, Leonardis, Aleš, Timofte, Radu, Zhang, Zexin, Liu, Cen, Peng, Yunbo, Lin, Yue, Yu, Gaocheng, Zhang, Jin, Ma, Zhe, Wang, Hongbin, Chen, Xiangyu, Wang, Xintao, Wu, Haiwei, Liu, Lin, Dong, Chao, Zhou, Jiantao, Yan, Qingsen, Zhang, Song, Chen, Weiye, Liu, Yuhang, Zhang, Zhen, Zhang, Yanning, Shi, Javen Qinfeng, Gong, Dong, Zhu, Dan, Sun, Mengdi, Chen, Guannan, Hu, Yang, Li, Haowei, Zou, Baozhu, Liu, Zhen, Lin, Wenjie, Jiang, Ting, Jiang, Chengzhi, Li, Xinpeng, Han, Mingyan, Fan, Haoqiang, Sun, Jian, Liu, Shuaicheng, Marín-Vega, Juan, Sloth, Michael, Schneider-Kamp, Peter, Röttger, Richard, Li, Chunyang, Bao, Long, He, Gang, Xu, Ziyao, Xu, Li, Zhan, Gen, Sun, Ming, Wen, Xing, Li, Junlin, Li, Jinjing, Li, Chenghua, Gang, Ruipeng, Li, Fangya, Liu, Chenming, Feng, Shuang, Lei, Fei, Liu, Rui, Ruan, Junxiang, Dai, Tianhong, Li, Wei, Lu, Zhan, Liu, Hengyan, Huang, Peian, Ren, Guangyu, Luo, Yonglin, Liu, Chang, Tu, Qiang, Ma, Sai, Cao, Yizhen, Tel, Steven, Heyrman, Barthelemy, Ginhac, Dominique, Lee, Chul, Kim, Gahyeon, Park, Seonghyun, Vien, An Gia, Mai, Truong Thanh Nhat, Yoon, Howoon, Vo, Tu, Holston, Alexander, Zaheer, Sheir, Park, Chan Y.

Publikováno v: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2022

This paper reviews the challenge on constrained high dynamic range (HDR) imaging that was part of the New Trends in Image Restoration and Enhancement (NTIRE) workshop, held in conjunction with CVPR 2022. This manuscript focuses on the competition set

Externí odkaz: http://arxiv.org/abs/2205.12633

Modeling and validation of multi-objective optimization for mixed xylene hybrid distillation/crystallization process

Autor: Chen, Weiye, Yao, Tuo, Liu, Jian, Li, Muyang, Jia, Shengzhe, Gao, Zhenguo, Gong, Junbo

Publikováno v: In Separation and Purification Technology 19 February 2025 354 Part 3

Global patterns of syphilis, gonococcal infection, typhoid fever, paratyphoid fever, diphtheria, pertussis, tetanus, and leprosy from 1990 to 2021: findings from the Global Burden of Disease Study 2021.

Autor: Chen, Weiye^1,2,3 (AUTHOR), Chen, Yiming^1,2,3 (AUTHOR), Cheng, Zile^1,2,3 (AUTHOR), Chen, Yiwen^1,2,3 (AUTHOR), Lv, Chao^1,2,3 (AUTHOR), Ma, Lingchao^1,2,3 (AUTHOR), Zhou, Nan^1,2,3 (AUTHOR), Qian, Jing^1,2,3 (AUTHOR), Liu, Chang⁴ (AUTHOR), Li, Min^1,3 (AUTHOR) minli@shsmu.edu.cn, Guo, Xiaokui^1,3 (AUTHOR) xkguo@shsmu.edu.cn, Zhu, Yongzhang^1,3 (AUTHOR) yzhzhu@hotmail.com

Publikováno v: Infectious Diseases of Poverty. 9/13/2024, Vol. 13 Issue 1, p1-23. 23p.