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Artikel 100001 MULTI-LEVEL FILTER FOR INFRARED IMAGE PROCESSING
Enthalten in International journal of infrared and millimeter waves Bd. 27, 8.5.2007, Nr. 12, date:12.2006: 1625-1637
Online Ressource
Artikel 100002 Multi-level image thresholding based on social spider algorithm for global optimization
Enthalten in International journal of information technology Bd. 11, 19.7.2019, Nr. 4, date:12.2019: 713-718
Online Ressource
Artikel 100003 Multi-level information fusion Transformer with background filter for fine-grained image recognition
Enthalten in Applied intelligence Bd. 54, 20.6.2024, Nr. 17-18, date:9.2024: 8108-8119
Online Ressource
Artikel 100004 Multi-level Motion Attention for Human Motion Prediction
Enthalten in International journal of computer vision Bd. 129, 16.6.2021, Nr. 9, date:9.2021: 2513-2535
Online Ressource
Artikel 100005 Multi-level optimal fusion algorithm for infrared and visible image
Enthalten in Signal, image and video processing Bd. 17, 24.6.2023, Nr. 8, date:11.2023: 4209-4217
Online Ressource
Artikel 100006 Multi-level receptive field feature reuse for multi-focus image fusion
Enthalten in Machine vision and applications Bd. 33, 29.9.2022, Nr. 6, date:11.2022: 1-18
Online Ressource
Artikel 100007 Multi-level relation learning for cross-domain few-shot hyperspectral image classification
Enthalten in Applied intelligence Bd. 54, 26.3.2024, Nr. 5, date:3.2024: 4392-4410
Online Ressource
Artikel 100008 Multi-level wavelet network based on CNN-Transformer hybrid attention for single image deraining
Enthalten in Neural computing & applications Bd. 35, 9.8.2023, Nr. 30, date:10.2023: 22387-22404
Online Ressource
Artikel 100009 Multi-linear sparse reconstruction for SAR imaging based on higher-order SVD
Enthalten in European Association for Speech, Signal and Image Processing: EURASIP journal on advances in signal processing Bd. 2017, 12.6.2017, Nr. 1, date:12.2017: 1-11
Online Ressource
Artikel 100010 Multi-local feature relation network for few-shot learning
Enthalten in Neural computing & applications Bd. 34, 3.1.2022, Nr. 10, date:5.2022: 7393-7403
Online Ressource


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