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arXiv Computer Vision research summaries for March 9, 2024.
Today's Research Themes (AI-Generated):
• Novel weakly supervised change detection technique using Knowledge Distillation and Multiscale Sigmoid Inference improves remote sensing applications.
• Self-supervised convolutional neural network demonstrates superior performance in image watermark removal task.
• Adaptive Multi-modal Fusion with Spatially Variant Kernel Refinement enhances diffusion models for realistic image super-resolution.
• Recurrent Aligned Network addresses the domain shift problem in pedestrian trajectory prediction and generalizes to unseen domains.
• SAFDNet, a simple yet effective network for fully sparse 3D object detection, showcases scalability and speed in autonomous driving contexts.
arXiv Computer Vision research summaries for March 9, 2024.
Today's Research Themes (AI-Generated):
• Novel weakly supervised change detection technique using Knowledge Distillation and Multiscale Sigmoid Inference improves remote sensing applications.
• Self-supervised convolutional neural network demonstrates superior performance in image watermark removal task.
• Adaptive Multi-modal Fusion with Spatially Variant Kernel Refinement enhances diffusion models for realistic image super-resolution.
• Recurrent Aligned Network addresses the domain shift problem in pedestrian trajectory prediction and generalizes to unseen domains.
• SAFDNet, a simple yet effective network for fully sparse 3D object detection, showcases scalability and speed in autonomous driving contexts.