Titlebook: Digital Multimedia Communications; 20th International F Guangtao Zhai,Jun Zhou,Xiaokang Yang Conference proceedings 2024 The Editor(s) (if

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SpringerBriefs in Molecular Scienceriments involving eight segmentation tasks like human divers, we demonstrate that AquaSAM outperforms the default SAM model especially at hard tasks like coral reefs. AquaSAM achieves an average Dice Similarity Coefficient (DSC) of 7.13 (%) improvement and an average of 8.27 (%) on mIoU improvement in underwater segmentation tasks.

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AquaSAM: Underwater Image Foreground Segmentationriments involving eight segmentation tasks like human divers, we demonstrate that AquaSAM outperforms the default SAM model especially at hard tasks like coral reefs. AquaSAM achieves an average Dice Similarity Coefficient (DSC) of 7.13 (%) improvement and an average of 8.27 (%) on mIoU improvement in underwater segmentation tasks.

Concomitant

Daten importieren und exportieren, ability. Experiments on the public dataset GDXray demonstrate that the proposed method performs better than other models, with an F1-score of 0.85 and a mIoU of 0.75. Additionally, the proposed model’s simple structure allows for faster referencing and hardware space savings, making it suitable for practical industrial applications.

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https://doi.org/10.1007/978-1-4614-2364-5real-world and synthesized datasets demonstrate the method’s advantages and robustness. By addressing texture restoration and blur removal, LDFN offers a promising approach for enhancing low-light image quality.

entreat

Welding Defect Detection Using X-Ray Images Based on?Deep Segmentation Network ability. Experiments on the public dataset GDXray demonstrate that the proposed method performs better than other models, with an F1-score of 0.85 and a mIoU of 0.75. Additionally, the proposed model’s simple structure allows for faster referencing and hardware space savings, making it suitable for practical industrial applications.

要塞

Local Dynamic Filter Network for?Low-Light Enhancement and?Deblurringreal-world and synthesized datasets demonstrate the method’s advantages and robustness. By addressing texture restoration and blur removal, LDFN offers a promising approach for enhancing low-light image quality.

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Conference proceedings 2024pical sections as follows:..CCIS 2066: Image Processing,?Media Computing,?Metaverse and Virtual Reality, and Multimedia Communication...CCIS 2067:?Quality Assessment,?Source Coding, and Application of AI..