Results 21 to 30 of about 11,596,145 (301)
SSD with multi-scale feature fusion and attention mechanism
Scientific Reports, 2022 Abstract In the field of the Internet of Things, image acquisition equipment is the very important equipment, which will generate lots of invalid data during real-time monitoring. Analyzing the data collected directly from the terminal by edge calculation, we can remove invalid frames and improve the accuracy of system detection.
Qiang Liu +5 more
openaire +3 more sources
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
doaj +1 more source
A multi-scale features-based method to detect Oplegnathus
Information Processing in Agriculture, 2021 It is of great significance to use underwater video and image processing technology to detect and analyze fish behaviors. In this paper, an Oplegnathus image dataset for fish behaviors study by deep learning algorithm is constructed, and the data is ...
Jun Yue +6 more
doaj +1 more source
Multi-scale Multi-attention Network for Moiré Document Image Binarization
, 2021 In this paper, we propose a Multi-scale Multi-attention Network (MsMa-Net) to binarize document images contaminated by moiré patterns from camera-captured screens.
Ji, Caijuan +4 more
core +1 more source
Selecting surface features for accurate multi-camera surface reconstruction [PDF]
, 2009 This paper proposes a novel feature detector for selecting local textures that are suitable for accurate multi-camera surface reconstruction, and in particular planar patch fitting techniques.
Roland Wilson +3 more
core +1 more source
Multi‐scale Feature Extraction on Point‐Sampled Surfaces [PDF]
Computer Graphics Forum, 2003 Abstract We present a new technique for extracting line‐type features on point‐sampled geometry. Given an unstructuredpoint cloud as input, our method first applies principal component analysis on local neighborhoods toclassify points according to the likelihood that they belong to a feature.
Mark Pauly +2 more
openaire +3 more sources
Robust Multi-scale Extraction of Blob Features [PDF]
, 2003 This paper presents a method for detection of homogeneous regions in grey-scale images, representing them as blobs. In order to be fast, and not to favour one scale over others, the method uses a scale pyramid. In contrast to most multi-scale methods this one is non-linear, since it employs robust estimation rather than averaging to move through scale ...
Per-Erik Forssén, Gösta H. Granlund
openaire +2 more sources
Mixed-dimensional consistent coupling by multi-point constraint equations for efficient multi-scale modeling [PDF]
, 2012 Finding an appropriate linking method to connect different dimensional element types in a single finite element model is a key issue in the multi-scale modeling.
Ling, Z.H. +3 more
core +1 more source
DWANet: Focus on Foreground Features for More Accurate Location
IEEE Access, 2022 Object detection can locate objects in an image using bounding boxes, which can facilitate classification and image understanding, resulting in a wide range of applications.
Jiwei Hu +3 more
doaj +1 more source
Double Attention for Multi-Label Image Classification
IEEE Access, 2020 Multi-label image classification is an essential task in image processing. How to improve the correlation between labels by learning multi-scale features from images is a very challenging problem.
Haiying Zhao +3 more
doaj +1 more source