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arXiv Computer Vision research summaries for January 20, 2024.
Today's Research Themes (AI-Generated):
• Spatial structure constraints improve weakly supervised semantic segmentation without external saliency models.
• Uncertainty-aware Mobile-Former network proposed for efficient event-based human activity recognition.
• EMA-Net leverages multitask affinity learning for efficient multitask CNN-based decoder-focused models.
• Addressing stability-plasticity in few-shot end-to-end object detection with a plasticity classifier fine-tuning stage.
• Novel dataset and transformer model introduced for multi-granularity surgical scene understanding.
arXiv Computer Vision research summaries for January 20, 2024.
Today's Research Themes (AI-Generated):
• Spatial structure constraints improve weakly supervised semantic segmentation without external saliency models.
• Uncertainty-aware Mobile-Former network proposed for efficient event-based human activity recognition.
• EMA-Net leverages multitask affinity learning for efficient multitask CNN-based decoder-focused models.
• Addressing stability-plasticity in few-shot end-to-end object detection with a plasticity classifier fine-tuning stage.
• Novel dataset and transformer model introduced for multi-granularity surgical scene understanding.