Zobrazeno 1 - 10
of 311
pro vyhledávání: '"Li Kaiyu"'
Publikováno v:
e-Polymers, Vol 21, Iss 1, Pp 821-829 (2021)
Popularly, the application of biodegradable polymer film can resolve polyethylene (PE) film residual “white pollution” but it is unclear when the degradable film begins to degrade in different regions. To solve these issues, a total of 32 papers
Externí odkaz:
https://doaj.org/article/39a01b03f4634a98a89d1c4e60076142
Remote sensing image change caption (RSICC) aims to provide natural language descriptions for bi-temporal remote sensing images. Since Change Caption (CC) task requires both spatial and temporal features, previous works follow an encoder-fusion-decod
Externí odkaz:
http://arxiv.org/abs/2410.23946
Remote sensing image plays an irreplaceable role in fields such as agriculture, water resources, military, and disaster relief. Pixel-level interpretation is a critical aspect of remote sensing image applications; however, a prevalent limitation rema
Externí odkaz:
http://arxiv.org/abs/2410.01768
Autor:
Li, Kaiyu, Jiang, Jiawei, Codegoni, Andrea, Han, Chengxi, Deng, Yupeng, Chen, Keyan, Zheng, Zhuo, Chen, Hao, Zou, Zhengxia, Shi, Zhenwei, Fang, Sheng, Meng, Deyu, Wang, Zhi, Cao, Xiangyong
We present Open-CD, a change detection toolbox that contains a rich set of change detection methods as well as related components and modules. The toolbox started from a series of open source general vision task tools, including OpenMMLab Toolkits, P
Externí odkaz:
http://arxiv.org/abs/2407.15317
Change Detection (CD) aims to identify pixels with semantic changes between images. However, annotating massive numbers of pixel-level images is labor-intensive and costly, especially for multi-temporal images, which require pixel-wise comparisons by
Externí odkaz:
http://arxiv.org/abs/2405.04788
In Generalized Few-shot Segmentation (GFSS), a model is trained with a large corpus of base class samples and then adapted on limited samples of novel classes. This paper focuses on the relevance between base and novel classes, and improves GFSS in t
Externí odkaz:
http://arxiv.org/abs/2404.05111
Change detection (CD) is a critical task to observe and analyze dynamic processes of land cover. Although numerous deep learning-based CD models have performed excellently, their further performance improvements are constrained by the limited knowled
Externí odkaz:
http://arxiv.org/abs/2312.01163
Control variates are variance reduction techniques for Monte Carlo estimators. They can reduce the cost of the estimation of integrals involving computationally expensive scientific models. We propose an extension of control variates, multilevel cont
Externí odkaz:
http://arxiv.org/abs/2305.12996
Autor:
Hu, Shoukang, Zhou, Kaichen, Li, Kaiyu, Yu, Longhui, Hong, Lanqing, Hu, Tianyang, Li, Zhenguo, Lee, Gim Hee, Liu, Ziwei
Neural Radiance Fields (NeRF) has demonstrated remarkable 3D reconstruction capabilities with dense view images. However, its performance significantly deteriorates under sparse view settings. We observe that learning the 3D consistency of pixels amo
Externí odkaz:
http://arxiv.org/abs/2305.11031
Multilevel Monte Carlo is a key tool for approximating integrals involving expensive scientific models. The idea is to use approximations of the integrand to construct an estimator with improved accuracy over classical Monte Carlo. We propose to furt
Externí odkaz:
http://arxiv.org/abs/2210.08329