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arXiv Computer Vision research summaries for April 26, 2024.
Today's Research Themes (AI-Generated):
• Federated learning framework FedDWA enhances cooperative perception in transportation with dynamic weighting and novel loss function.
• Direct estimation of distortion fields from single fingerprint images improves recognition rates, supported by a new diverse database.
• Pose-specific 3D fingerprint unfolding algorithm increases compatibility and matching scores with 2D fingerprints.
• CSCO method discovers efficient connectivity of convolutional operators, boosting ConvNet performance on ImageNet.
• Phase-aggregated Dual-branch Registration Network (PDRNet) achieves state-of-the-art fingerprint registration with efficiency.
arXiv Computer Vision research summaries for April 26, 2024.
Today's Research Themes (AI-Generated):
• Federated learning framework FedDWA enhances cooperative perception in transportation with dynamic weighting and novel loss function.
• Direct estimation of distortion fields from single fingerprint images improves recognition rates, supported by a new diverse database.
• Pose-specific 3D fingerprint unfolding algorithm increases compatibility and matching scores with 2D fingerprints.
• CSCO method discovers efficient connectivity of convolutional operators, boosting ConvNet performance on ImageNet.
• Phase-aggregated Dual-branch Registration Network (PDRNet) achieves state-of-the-art fingerprint registration with efficiency.