Algorithms for Mobile Robot Localization and Mapping, Incorporating Detailed Noise Modeling and Multi-scale Feature Extraction [PDF]
, 2006 Mobile robot localization and mapping in unknown environments is a fundamental requirement for effective autonomous navigation. Three different approaches to localization and mapping are presented.
Pfister, Samuel Thomas
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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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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
doaj
Inexpensive fusion methods for enhancing feature detection [PDF]
, 2007 Recent successful approaches to high-level feature detection in image and video data have treated the problem as a pattern classification task. These typically leverage the techniques learned from statistical machine learning, coupled with ensemble ...
O'Connor, Noel E. +8 more
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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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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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M-FFN: multi-scale feature fusion network for image captioning
, 2022 In this work, we present a novel multi-scale feature fusion network (M-FFN) for image captioning task to incorporate discriminative features and scene contextual information of an image.
Prudviraj, Jeripothula +2 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‐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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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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