Results 21 to 30 of about 74,666 (264)
Multi-Scale Feature Fusion for Interior Style Detection
Applied Sciences, 2022 Text-based search engines can extract various types of information when a user enters an appropriate search query. However, a text-based search often fails in image retrieval when image understanding is needed.
Akitaka Yaguchi +4 more
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PLU-Net: Extraction of multi-scale feature fusion
CoRR, 2023 11 pages, 9 ...
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Remote Sensing, 2023 In recent years, there have been many multimodal works in the field of remote sensing, and most of them have achieved good results in the task of land-cover classification.
Maqun Zhang +5 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‐scale feature fusion network for person re‐identification [PDF]
IET Image Processing, 2020 Recently, it is becoming a challenging work for person re‐identification due to the problems of occlusion, blurring and posture. The key of effective person re‐identification is to capture sufficient detailed features of a person's appearance in images.
Yongjie Wang +2 more
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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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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
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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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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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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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