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Artikel 100001 Multi-scale attention and boundary-aware network for military camouflaged object detection using unmanned aerial vehicles
Enthalten in Signal, image and video processing Bd. 19, 3.1.2025, Nr. 2, date:2.2025: 1-13
Online Ressource
Artikel 100002 Multi-Scale Attention and Encoder-Decoder Network for Video Saliency Object Detection
Enthalten in Pattern recognition and image analysis Bd. 32, 6.7.2022, Nr. 2, date:6.2022: 340-350
Online Ressource
Artikel 100003 Multi-Scale Attention Generative Adversarial Network for Single Image Rain Removal
Enthalten in Pattern recognition and image analysis Bd. 32, 6.7.2022, Nr. 2, date:6.2022: 436-447
Online Ressource
Artikel 100004 Multi-scale attention network with dynamic offset sampling for image super-resolution
Enthalten in Signal, image and video processing Bd. 19, 4.7.2025, Nr. 10, date:10.2025: 1-11
Online Ressource
Artikel 100005 Multi-scale attention vehicle re-identification
Enthalten in Neural computing & applications Bd. 32, 23.6.2020, Nr. 23, date:12.2020: 17489-17503
Online Ressource
Artikel 100006 Multi-scale characterizations of colon polyps via computed tomographic colonography
Enthalten in Visual computing for industry, biomedicine, and art Bd. 2, 27.12.2019, Nr. 1, date:12.2019: 1-12
Online Ressource
Artikel 100007 Multi-scale Coefficients Fusion Strategy for Enhancement of SAM Image in Solder Joints Detection
Enthalten in Journal of nondestructive evaluation Bd. 43, 8.12.2023, Nr. 1, date:3.2024: 1-11
Online Ressource
Artikel 100008 Multi-scale contrast and relative motion-based key frame extraction
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on image and video processing Bd. 2018, 5.6.2018, Nr. 1, date:12.2018: 1-11
Online Ressource
Artikel 100009 Multi-scale conv-attention U-Net for medical image segmentation
Enthalten in Scientific reports Bd. 15, 8.4.2025, Nr. 1, date:12.2025: 1-13
Online Ressource
Artikel 100010 Multi-scale convolution underwater image restoration network
Enthalten in Machine vision and applications Bd. 33, 6.9.2022, Nr. 6, date:11.2022: 1-13
Online Ressource


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