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arXiv Computer Vision research summaries for April 20, 2024.
Today's Research Themes (AI-Generated):
• FilterPrompt technique proposed to provide controllable manipulation of image attributes in diffusion models.
• Multi-cell decoder and bidirectional learning improve table structure and character recognition in documents.
• StrideNET uses Swin Transformer for terrain recognition, aiding various remote-sensing applications.
• Multi-feature Reconstruction Network introduced for unsupervised anomaly detection in industrial images.
• SMA method challenges robustness of No-Reference Image Quality Assessment models through adversarial attacks.
arXiv Computer Vision research summaries for April 20, 2024.
Today's Research Themes (AI-Generated):
• FilterPrompt technique proposed to provide controllable manipulation of image attributes in diffusion models.
• Multi-cell decoder and bidirectional learning improve table structure and character recognition in documents.
• StrideNET uses Swin Transformer for terrain recognition, aiding various remote-sensing applications.
• Multi-feature Reconstruction Network introduced for unsupervised anomaly detection in industrial images.
• SMA method challenges robustness of No-Reference Image Quality Assessment models through adversarial attacks.