Results 21 to 30 of about 290,361 (261)
Separable Attention Capsule Network for Signal Classification
IEEE Access, 2020 In this paper, a new Separable Attention Capsule Network (SACN) is proposed for signal classification. SACN is a light-weight network composed of multi-channel separable convolution layer, attention module and classification layer.
Shaoqing Liu +4 more
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Multi-Scale Feature Channel Attention Generative Adversarial Network for Face Sketch Synthesis
IEEE Access, 2020 Face sketch synthesis for photos is an applied research topic and it is critical for criminal investigation. However, sketch synthesis remains some challenges because of the blur and artifacts in the generated face sketches. To mitigate these problems in
Jieying Zheng +4 more
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Leida xuebao, 2021 Deep-learning technology has enabled remarkable results for ship detection in SAR images. However, in view of the complex and changeable backgrounds of SAR ship images, how to accurately and efficiently extract target features and improve detection ...
Xueke ZHOU, Chang LIU, Bin ZHOU
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IEEE Access, 2020 Constrained image splicing detection and localization (CISDL) is a newly formulated image forensics task and plays an important role in verifying the generating process of a forged image.
Yaqi Liu, Xianfeng Zhao
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Gradient-Guided and Multi-Scale Feature Network for Image Super-Resolution
Applied Sciences, 2022 Recently, deep-learning-based image super-resolution methods have made remarkable progress. However, most of these methods do not fully exploit the structural feature of the input image, as well as the intermediate features from the intermediate layers ...
Jian Chen +3 more
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Multi-channel feature fusion attention Dehazing network
PLOS ONE, 2023 Haze is a typical weather phenomena that has a significant negative impact on transportation safety, particularly in the port, highways, and airport runway areas. A multi-scale U-shaped dehazing network is proposed in this research, which is based on our multi-channel feature fusion attention structure.
Changjun Zou, Hangbin Xu, Lintao Ye
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 Target detection is a critical task in interpreting aerial images. Small target detection, such as vehicles, is challenging. Different lighting conditions affect the accuracy of vehicle detection.
Yuanfeng Wu +4 more
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Remote Sensing, 2021 With the development of computer vision, attention mechanisms have been widely studied. Although the introduction of an attention module into a network model can help to improve classification performance on remote sensing scene images, the direct ...
Cuiping Shi +3 more
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Dual-Branch Attention-In-Attention Transformer for Single-Channel Speech Enhancement
ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022 Curriculum learning begins to thrive in the speech enhancement area, which decouples the original spectrum estimation task into multiple easier sub-tasks to achieve better performance. Motivated by that, we propose a dual-branch attention-in-attention transformer dubbed DB-AIAT to handle both coarse- and fine-grained regions of the spectrum in parallel.
Yu, Guochen +5 more
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Channel Attention Networks for Robust MR Fingerprint Matching
IEEE Transactions on Biomedical Engineering, 2022 Magnetic Resonance Fingerprinting (MRF) enables simultaneous mapping of multiple tissue parameters such as T1 and T2 relaxation times. The working principle of MRF relies on varying acquisition parameters pseudo-randomly, so that each tissue generates its unique signal evolution during scanning.
Refik Soyak +7 more
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