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School of Information and Electrical Engineering, Hebei University of Engineering, Handan, China
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Achieving up to 12.2% improvement in segmentation accuracy without any model parameter updates could revolutionize how we handle distribution shifts in medical imaging.
The choice of pretraining strategy, not just model complexity, is the key driver of performance in fine-grained semantic segmentation tasks.
A novel AIGC service provision scheme reduces average task completion latency in Cyber-Physical Manufacturing by integrating advanced reinforcement learning techniques.
