Toward Efficient Object Detection in Aerial Images Using Extreme Scale Metric Learning
IEEE Access, 2021 In aerial image object detection, how to efficiently detect different size objects in input images of different scales and obtain a unified multi-scale representation of the object is an important issue.
Ren Jin +4 more
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Chinese Sentiment Analysis Based on CNN-BiLSTM Model of Multi-level and Multi-scale Feature Extraction [PDF]
Jisuanji kexue, 2023 Sentiment analysis,as a sub-field of natural language processing(NLP),plays a very important role in public opinion monitoring.In the Chinese sentiment analysis task,the existing methods only consider sentiment features from single-level and single-scale,
WANG Lin, MENG Zuqiang, YANG Lina
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A scale‐sensitive heatmap representation for multi‐person pose estimation
IET Image Processing, 2022 Multi‐person pose estimation is a challenging vision task that can be seriously affected by keypoint scale variation. Existing heatmap‐based approaches are devoted to reducing the effect by optimizing backbone architecture or loss functions, but the ...
Congju Du, Han Yu, Li Yu
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GENERAL ANALYZING AND RESEARCH ON UNCERTAINTY OF MULTI-SCALE REPRESENTATION FOR STREET-BLOCK SETTLEMENT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Analyzing and evaluating the reliability of multi-scale representation of spatial data are already becoming an important issue of the current digital cartography and GIS. Settlement place is the main content of maps.
F. Xu, J. Niu, Z. Chi, W. Xie
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A multi‐scale feature representation and interaction network for underwater object detection
IET Computer Vision, 2023 Compared with natural images, underwater images are usually degraded with blur, scale variation, colour shift and texture distortion, which bring much challenge for computer vision tasks like object detection.
Jiaojiao Yuan +3 more
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Life, 2021 Many computer-aided diagnosis methods, especially ones with deep learning strategies, of liver cancers based on medical images have been proposed. However, most of such methods analyze the images under only one scale, and the deep learning models are ...
Yuchai Wan +6 more
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A Global Continuous Multi-Scale Terrain Contour Simplification Method Based on the Level Set
Applied Sciences, 2021 Multi-scale spatial representation has been widely used in geographic information and online mapping systems. Terrain contour, which provides a reference for understanding and monitoring the Earth’s surface, is an important data category.
Haoyue Qian +5 more
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Spiking Neural Network Model for Brain-like Computing and Progress of Its Learning Algorithm [PDF]
Jisuanji kexue, 2023 With the increasingly prominent limitations of deep neural networks in practical applications,brain-like computing spiking neural networks with biological interpretability have become the focus of research.The uncertainty and complex diversity of ...
HUANG Zenan, LIU Xiaojie, ZHAO Chenhui, DENG Yabin, GUO Donghui
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Image Fusion Quality Assessment Algorithm Based on Multi-scale Local Variance [PDF]
Jisuanji gongcheng, 2017 In this paper,an image fusion quality assessment algorithm based on local variance is proposed to predict the distortion on visual information.Considering that multi-scale representation technology allows for image analysis in different scale,multi-scale
LUO Lan,DU Qinsheng
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A Multi-Scale Virtual Terrain for Hierarchically Structured Non-Location Data
ISPRS International Journal of Geo-Information, 2021 Metaphor are commonly used rhetorical devices in linguistics. Among the various types, spatial metaphors are relatively common because of their intuitive and sensible nature.
Rui Xin +5 more
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