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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Acoustic features for multi-level classification of Australian frogs [PDF]
2015 10th International Conference on Information, Communications and Signal Processing (ICICS), 2015 Over past few decades, frog species have been experiencing dramatic decline around the world. The reason for this decline includes habitat loss, invasive species, climate change and so on. To better know the status of frog species, classifying frogs has become increasingly important.
Xie, Jie, Zhang, Jinglan, Roe, Paul
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An Efficient Module for Instance Segmentation Based on Multi-Level Features and Attention Mechanisms
Applied Sciences, 2021 Recently, multi-level feature networks have been extensively used in instance segmentation. However, because not all features are beneficial to instance segmentation tasks, the performance of networks cannot be adequately improved by synthesizing multi ...
Yingchun Sun +4 more
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Learning Multi-Level Features to Improve Crowd Counting [PDF]
IEEE Access, 2020 Crowd counting is a task that aims to estimate the number of people in an image. Recent crowd counting methods make significant progress by employing convolutional neural networks to regress crowd density maps.
Zhanqiang Huo +4 more
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Adaptive Weighted Multi-Level Fusion of Multi-Scale Features: A New Approach to Pedestrian Detection
Future Internet, 2021 Great achievements have been made in pedestrian detection through deep learning. For detectors based on deep learning, making better use of features has become the key to their detection effect.
Yao Xu, Qin Yu
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Unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal features [PDF]
Tongxin xuebao, 2022 In order to solve the problem of the distribution differences of visual, spatial, and semantic features between domains in domain adaptation, an unsupervised domain adaptation multi-level adversarial network for semantic segmentation based on multi-modal
Zeyu WANG +6 more
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Visual Positioning Algorithm Based on Multi-Level Features
IEEE AccessWith the rapid advancement of the low-altitude economy, the demand for high-precision positioning in urban environments has become increasingly pronounced. Traditional satellite navigation and wireless signal-based positioning methods are prone to issues
Wanqing Wu +3 more
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Learning multi-level weight-centric features for few-shot learning [PDF]
, 2022 Few-shot learning is currently enjoying a considerable resurgence of interest, aided by the recent advance of deep learning. Contemporary approaches based on weight-generation scheme delivers a straightforward and flexible solution to the problem ...
Liang, Mingjiang +4 more
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Multi‐level feature fusion network for crowd counting [PDF]
IET Computer Vision, 2021 Abstract Crowd counting has become a noteworthy vision task due to the needs of numerous practical applications, but it remains challenging. State‐of‐the‐art methods generally estimate the density map of the crowd image with the high‐level semantic features of various deep convolutional networks.
Luyang Wang +4 more
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Channel2DTransformer: A Multi-level Features Self-attention Fusion Module for Semantic Segmentation
International Journal of Computational Intelligence SystemsSemantic segmentation is a crucial technology for intelligent vehicles, enabling scene understanding in complex driving environments. However, complex real-world scenarios often contain diverse multi-scale objects, which bring challenges to the accurate ...
Weitao Liu, Junjun Wu
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