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Société Française de Radiologie
https://www.radiologie.fr:443/
WEBMar 2, 2024 · La Société Française de Radiologie est une société scientifique qui développe une expertise sur tous les sujets concernant l'imagerie, promeut la radiologie et l'imagerie médicale dans ses applications diagnostiques comme thérapeutiques, favorise l’enseignement et la formation (organisation de congrès, diffusion de contenu ...
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SFRNet: Fine-Grained Oriented Object Recognition via Separate …
https://ieeexplore.ieee.org:443/abstract/document/10129210
WEBAbstract: Fine-grained oriented object recognition (FGO 2R ) is a practical need for intellectually interpreting remote sensing images. It aims at realizing fine-grained classification and precise localization with oriented bounding boxes, simultaneously.
DA: 27 PA: 86 MOZ Rank: 37
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GitHub - Ranchosky/SFRNet
https://github.com:443/Ranchosky/SFRNet
WEBSFRNet. This is the official implement of SFRNet. SFRNet: Fine-Grained Oriented Object Recognition via Separate Feature Refinement. Introduction. Fine-grained oriented object recognition is a practical need for intellectually interpreting remote sensing images.
DA: 70 PA: 1 MOZ Rank: 97
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SFRNet: Feature Extraction-Fusion Steganalysis Network Based ... - Hindawi
https://www.hindawi.com:443/journals/scn/2021/3676720/
WEBJul 26, 2021 · This paper proposes a new network architecture, called SFRNet, to solve these problems. The feature extraction and fusion layer can extract more features from the digital image. The RepVgg block is used to accelerate …
DA: 9 PA: 83 MOZ Rank: 93
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French Society of Radiology (SFR) - HealthManagement.org
https://healthmanagement.org:443/c/imaging/issuearticle/french-society-of-radiology-sfr
WEBExecutive Director. Societe Francaise. De Radiologie (SFR) Paris, France. [email protected]. WWW. SFRNET. ORG. The French Society of Radiology (SFR), founded in 1909, is a non-profit scientific organisation, actively promoting and safeguarding the highest standards of practice in radiology and the related sciences.
DA: 89 PA: 5 MOZ Rank: 9
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(PDF) SFRNet: Feature Extraction-Fusion Steganalysis
https://www.researchgate.net:443/publication/353475444_SFRNet_Feature_Extraction-Fusion_Steganalysis_Network_Based_on_Squeeze-and-Excitation_Block_and_RepVgg_Block
WEBJul 26, 2021 · SFRNet: Feature Extraction-Fusion Steganalysis Network Based on Squeeze-and-Excitation Block and RepVgg Block. July 2021. Security and Communication Networks 2021:1-11. DOI: 10.1155/2021/3676720....
DA: 3 PA: 6 MOZ Rank: 78
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Xingxing Xie (谢星星) - Google Scholar
https://scholar.google.com:443/citations?user=plEUuGcAAAAJ
WEBSFRNet: Fine-Grained Oriented Object Recognition via Separate Feature Refinement G Cheng, Q Li, G Wang, X Xie, L Min, J Han IEEE Transactions on Geoscience and Remote Sensing , 2023
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Comparing detection accuracy rate of SFRNet with the SE block …
https://www.researchgate.net:443/figure/Comparing-detection-accuracy-rate-of-SFRNet-with-the-SE-block-and-SFRNet-without-the-SE_fig11_353475444
WEBTerms and conditions apply. Comparing detection accuracy rate of SFRNet with the SE block and SFRNet without the SE block against the WOW algorithm at 0.4 bpp. Source publication. +10....
DA: 32 PA: 100 MOZ Rank: 21
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SFRNet: : Feature Extraction-Fusion Steganalysis Network Based …
https://dl.acm.org:443/doi/10.1155/2021/3676720
WEBThis paper proposes a new network architecture, called SFRNet, to solve these problems. The feature extraction and fusion layer can extract more features from the digital image. The RepVgg block is used to accelerate the inference and increase memory utilization.
DA: 19 PA: 72 MOZ Rank: 98
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SFRNet: Fine-Grained Oriented Object Recognition via
https://www.researchgate.net:443/publication/370887674_SFRNet_Fine-Grained_Oriented_Object_Recognition_via_Separate_Feature_Refinement
WEBLast Updated: 19 Jul 2023. Request PDF | SFRNet: Fine-Grained Oriented Object Recognition via Separate Feature Refinement | Fine-grained oriented object recognition (FGO 2 R) is a practical need...
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