Results 11 to 20 of about 372,115 (318)
Multi-Scale Feature Interactive Fusion Network for RGBT Tracking
Sensors, 2023 The fusion tracking of RGB and thermal infrared image (RGBT) is paid wide attention to due to their complementary advantages. Currently, most algorithms obtain modality weights through attention mechanisms to integrate multi-modalities information.
Xianbing Xiao +3 more
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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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Progressively Multi-Scale Feature Fusion for Image Inpainting
Mathematics, 2023 The rapid advancement of Wise Information Technology of med (WITMED) has made the integration of traditional Chinese medicine tongue diagnosis and computer technology an increasingly significant area of research.
Wu Wen +4 more
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SSD with Multi-scale feature Fusion and Attention mechanism
Scientific Reports, 2022 Abstract In the field of the Internet of Things, image acquisition equipment is the very important equipment, which will generate lots of invalid data during real-time monitoring. Analyzing the data collected directly from the terminal by edge calculation, we can remove invalid frames and improve the accuracy of system detection.
Zhigao Zeng +5 more
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Face Verification with Multi-Task and Multi-Scale Feature Fusion [PDF]
Entropy, 2017 Face verification for unrestricted faces in the wild is a challenging task. This paper proposes a method based on two deep convolutional neural networks (CNN) for face verification.
Xiaojun Lu +4 more
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Multi-Scale Boosted Dehazing Network With Dense Feature Fusion [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 In this paper, we propose a Multi-Scale Boosted Dehazing Network with Dense Feature Fusion based on the U-Net architecture. The proposed method is designed based on two principles, boosting and error feedback, and we show that they are suitable for the dehazing problem.
Dong, Hang +6 more
openaire +2 more sources
An Optimized PatchMatch for Multi-scale and Multi-feature Label Fusion [PDF]
NeuroImage, 2019 Neuroimage ...
Rémi Giraud +6 more
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EEG Emotion Recognition by Fusion of Multi-Scale Features
Brain Sciences, 2023 Electroencephalogram (EEG) signals exhibit low amplitude, complex background noise, randomness, and significant inter-individual differences, which pose challenges in extracting sufficient features and can lead to information loss during the mapping process from low-dimensional feature matrices to high-dimensional ones in emotion recognition algorithms.
Xiuli Du +4 more
openaire +3 more sources
Adaptive Feature Pyramid Networks for Object Detection
IEEE Access, 2021 In general object detection, scale variation is always a big challenge. At present, feature pyramid networks are employed in numerous methods to alleviate the problems caused by large scale range of objects in object detection, which makes use of multi ...
Chengyang Wang, Caiming Zhong
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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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