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review products for amazon

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    Detect AI-generated Images & Deepfakes (Part 1) Selim Seferbekov, used MTCNN for face detection and an EfficientNet B-7 for feature encoding. Structured parts of faces were dropped during training as a form of augmentation. The second solution, WM, used the Xception architecture for frame-by-frame feature extraction, and a WSDAN model for augmentation. The third submission, NTechLab, used an ensemble of EfficientNets in addition to using the mixup augmentation during training.

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    Detect AI-generated Images & Deepfakes (Part 1) Selim Seferbekov, used MTCNN for face detection and an EfficientNet B-7 for feature encoding. Structured parts of faces were dropped during training as a form of augmentation. The second solution, WM, used the Xception architecture for frame-by-frame feature extraction, and a WSDAN model for augmentation. The third submission, NTechLab, used an ensemble of EfficientNets in addition to using the mixup augmentation during training.

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  • review products for amazon

    review products for amazon

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