Image emotion distribution learning based on multiscale feature fusion
四川大学学报. 自然科学版, 2023 Visual emotion analysis aims to analyze the emotional response of human beings to visual stimuli, which has attracted multimedia visual data related fields such as sharing platforms and social networking in recent years.
ZHANG Jian-Jun +4 more
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A method of single‐shot target detection with multi‐scale feature fusion and feature enhancement
IET Image Processing, 2022 The Single Shot MultiBox Detector (SSD) is one of the fastest detection algorithms. Although it has achieved good results in detection, it also has the problem of poor detection effect for small targets and occlusion between objects.
Zhong Qu +4 more
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Neural Path Planning With Multi-Scale Feature Fusion Networks
IEEE Access, 2022 Path planning is critical for planetary rovers that perform observation and exploration missions in unknown and dangerous environment. And due to the communication delay, it is difficult for the planet rover to receive instructions from Earth in time to guide its own movement. In this work, we present a novel neural network-based algorithm to solve the
Xiang Jin, Wei Lan 0002, Xin Chang
openaire +3 more sources
RMNET: A Residual and Multi-scale Feature Fusion Network For High-resolution Image Semantic Segmentation [PDF]
, 2023 High-resolution remote sensing images have high clarity and provide significant support for urban planning, resource management, environmental monitoring, and disaster warning.
Xu, Sheng, Shen, ZiRui, Li, Xin
core +2 more sources
MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation
IEEE Access, 2020 Automatic assessing the location and extent of liver and liver tumor is critical for radiologists, diagnosis and the clinical process. In recent years, a large number of variants of U-Net based on Multi-scale feature fusion are proposed to improve the ...
Tongle Fan +3 more
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Single-Stage Object Detection Algorithm Based on Dilated Convolution and Feature Enhancement [PDF]
Jisuanji gongcheng, 2021 The shallow feature map of the object detection algorithm based on Convolutional Neural Network(CNN) lacks semantic information,while the deep feature map lacks detailed information.In order to fully exploit shallow and deep feature maps and solve the ...
JIANG Jun, ZHAI Donghai
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Multi-channel feature fusion process diagram.
, 2022 Multi-channel feature fusion process diagram.
Guoxiong Zhou (12245608) +7 more
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Fast and Accurate Super-Resolution of FY-2 Infrared Cloud Images via Multi-Scale Fusion Network
IEEE Access, 2019 This paper proposes an effective method to improve the spatial resolution of FengYun-2 (FY-2) infrared cloud images via deep convolutional neural networks.
Yecai Guo, Pengfei Xiao, Mei Xue
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Effect comparison chart of multi-scale feature fusion.
, 2022 Effect comparison chart of multi-scale feature fusion.
Guoxiong Zhou (12245608) +7 more
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Multi-patch and Multi-scale Hierarchical Aggregation Network for Fast Nonhomogeneous ImageDehazing [PDF]
Jisuanji kexue, 2021 Despite dehazing algorithms based on convolutional neural networks have made tremendous progress in synthetic uniform hazy datasets,they still perform poorly on real nonhomogeneous hazy images.In order to achieve fast and effective nonhomogeneous image ...
YANG Kun, ZHANG Juan, FANG Zhi-jun
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