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检索条件"机构=Key Laboratory of Technology in Geospatial Information Processing and Application System"
549 条 记 录,以下是271-280 订阅
排序:
A coarse-to-fine framework for learned color enhancement with non-local attention
arXiv
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arXiv 2019年
作者: Shan, Chaowei Zhang, Zhizheng Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Automatic color enhancement is aimed to adaptively adjust photos to expected styles and tones. For current learned methods in this field, global harmonious perception and local details are hard to be well-considered i... 详细信息
来源: 评论
FreqAlign: Excavating Perception-oriented Transferability for Blind Image Quality Assessment from A Frequency Perspective
arXiv
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arXiv 2023年
作者: Li, Xin Lu, Yiting Chen, Zhibo The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Blind Image Quality Assessment (BIQA) is susceptible to poor transferability when the distribution shift occurs, e.g., from synthesis degradation to authentic degradation. To mitigate this, some studies have attempted... 详细信息
来源: 评论
Domain-class correlation decomposition for generalizable person re-identification
arXiv
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arXiv 2021年
作者: Yang, Kaiwen Tian, Xinmei CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Domain generalization in person re-identification is a highly important meaningful and practical task in which a model trained with data from several source domains is expected to generalize well to unseen target doma... 详细信息
来源: 评论
No-reference light field image quality assessment based on micro-lens image
arXiv
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arXiv 2019年
作者: Luo, Ziyuan Zhou, Wei Shi, Likun Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Light field image quality assessment (LF-IQA) plays a significant role due to its guidance to Light Field (LF) contents acquisition, processing and application. The LF can be represented as 4-D signal, and its quality... 详细信息
来源: 评论
StyleAM: Perception-Oriented Unsupervised Domain Adaption for Non-reference Image Quality Assessment
arXiv
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arXiv 2022年
作者: Lu, Yiting Li, Xin Liu, Jianzhao Chen, Zhibo The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Deep neural networks (DNNs) have shown great potential in non-reference image quality assessment (NR-IQA). However, the annotation of NR-IQA is labor-intensive and time-consuming, which severely limits their applicati... 详细信息
来源: 评论
LIRA: Lifelong image restoration from unknown blended distortions
arXiv
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arXiv 2020年
作者: Liu, Jianzhao Lin, Jianxin Li, Xin Zhou, Wei Liu, Sen Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Most existing image restoration networks are designed in a disposable way and catastrophically forget previously learned distortions when trained on a new distortion removal task. To alleviate this problem, we raise t... 详细信息
来源: 评论
A total suspended sediment retrieval model for multiple estuaries and coasts by Landsat imageries  4
A total suspended sediment retrieval model for multiple estu...
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4th International Workshop on Earth Observation and Remote Sensing applications, EORSA 2016
作者: Chongyang, Wang Dan, Li Danni, Wang Chen, Shuisen Wei, Liu Guangdong Open Laboratory of Geospatial Information Technology and Application Guangdong Key Lab. of Remote Sensing and Geographical Information System Technology Application Guangzhou Institute of Geography Chinese Academy of Sciences University of Chinese Academy of Sciences Guangzhou Beijing510070/5lO640 China Department of Resources and the Urban Planning Xin Hua College of Sun Yat-Sen University Guangzhou510520 China
Based on 119 in-situ data from five estuaries and coasts of South China including Xunwen coast, estuary of Moyangjiang River, estuary and coast of Pearl River, estuary of Hanjiang River and estuary of Yangtze River, t... 详细信息
来源: 评论
Learning omni-frequency region-adaptive representations for real image super-resolution
arXiv
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arXiv 2020年
作者: Li, Xin Jin, Xin Yu, Tao Pang, Yingxue Sun, Simeng Zhang, Zhizheng Chen, Zhibo CAS Key Laboratory of Technology in Geo-spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Traditional single image super-resolution (SISR) methods that focus on solving single and uniform degradation (i.e., bicubic down-sampling), typically suffer from poor performance when applied into real-world low-reso... 详细信息
来源: 评论
Spatial Decomposition and Temporal Fusion based Inter Prediction for Learned Video Compression
arXiv
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arXiv 2024年
作者: Sheng, Xihua Li, Li Liu, Dong Li, Houqiang The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Video compression performance is closely related to the accuracy of inter prediction. It tends to be difficult to obtain accurate inter prediction for the local video regions with inconsistent motion and occlusion. Tr... 详细信息
来源: 评论
Source-free Unsupervised Domain Adaptation for Blind Image Quality Assessment
arXiv
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arXiv 2022年
作者: Liu, Jianzhao Li, Xin An, Shukun Chen, Zhibo The CAS Key Laboratory of Technology in Geo-Spatial Information Processing and Application System University of Science and Technology of China Hefei230027 China
Existing learning-based methods for blind image quality assessment (BIQA) are heavily dependent on large amounts of annotated training data, and usually suffer from a severe performance degradation when encountering t... 详细信息
来源: 评论