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VSS-SpatioNet: a multi-scale feature fusion network for multimodal image integrations. [PDF]

Sci Rep
Xiang Z.
europepmc   +1 more source

PD-YOLO: a novel weed detection method based on multi-scale feature fusion. [PDF]

Front Plant Sci
Li S, Chen Z, Xie J, Zhang H, Guo J.
europepmc   +1 more source

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Monocular Depth Estimation With Multi-Scale Feature Fusion

IEEE Signal Processing Letters, 2021
Depth estimation from a single image is a crucial but challenging task for reconstructing 3D structures and inferring scene geometry. However, most existing methods fail to extract more detailed information and estimate the distant small-scale objects well.
Xianfa Xu, Zhe Chen 0005, Fuliang Yin
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A deep recursive multi-scale feature fusion network for image super-resolution

Journal of Visual Communication and Image Representation, 2023
Recently, Convolutional Neural Networks (CNNs) have achieved great success in Single Image Super-Resolution (SISR). In particular, the recursive networks are now widely used.
Feiqiang Liu, Xiaomin Yang, Bernard De Baets   +2 more
exaly   +2 more sources

Multi-scale hierarchical feature fusion network for change detection

Pattern Recognition
Hanhong Zheng, Mingyang Zhang, Maoguo Gong   +2 more
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Adaptive fusion with multi-scale features for interactive image segmentation

Applied Intelligence, 2021
Multi-scale features are usually utilized to improve the performance of interactive image segmentation, however, they have varying leverages over the result of segmentation, for example, thinner segmentation results could be achieved by pixel-level features, but sensitive to image noise, and superpixel-level features could provide the semantic ...
Zongyuan Ding, Tao Wang 0020, Quansen Sun, Hongyuan Wang   +3 more
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Multi-Scale Deep Feature Fusion for Vehicle Re-Identification

ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020
Vehicle re-identification (re-id) is challenging due to the small inter-class distance. The differences between similar vehicles can be extremely subtle and only captured at particular scales and semantic levels. In this paper, we propose a novel Multi-Scale Deep Feature Fusion Network (MSDeep) to conduct both multi-scale and multi-level features for ...
Yiting Cheng 0001, Chuanfa Zhang, Kangzheng Gu, Lizhe Qi, Zhongxue Gan, Wenqiang Zhang   +5 more
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Drone Detection Based on Multi-scale Feature Fusion

2021 International Conference on UK-China Emerging Technologies (UCET), 2021
Zhenni Zeng, Zhenning Wang, Lang Qin, Hui Li   +3 more
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Exploring Multi-scale Deep Feature Fusion for Object Detection

2018
The ability to extract the discriminative features remains a fundamental task of object detection, especially for small objects. Many mainstream object detection models, use the feature pyramids structure, a kind of fusion approaches, to predict objects of different scales. This traditional fusion strategy aims to merge different feature maps by linear
Quan Zhang, Jianhuang Lai, Xiaohua Xie, Jun-Yong Zhu   +3 more
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MFANet: Multi-scale feature fusion network with attention mechanism

The Visual Computer, 2022
Gaihua Wang, Xin Gan, Qingcheng Cao, Qianyu Zhai   +3 more
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