YOLOv11m
PulseAugur coverage of YOLOv11m — every cluster mentioning YOLOv11m across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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YOLOv11 models achieve high accuracy in automated wound segmentation and classification
Researchers have developed two new instance segmentation models based on the YOLOv11 architecture for automated wound assessment. These models are designed to perform both boundary segmentation and classification across…
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New AI model enhances low-light drone imagery for bridge damage detection
Researchers have developed DaL-MoE, a new image restoration technique designed to improve bridge damage detection in low-light conditions using unmanned aerial vehicles (UAVs). This method employs an ISP-aware synthesis…
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New DaL-MoE System Enhances Bridge Damage Detection in Low-Light UAV Imagery
Researchers have developed DaL-MoE, a novel image restoration system designed to improve bridge damage detection from low-light UAV imagery. This system utilizes a degradation-aware mixture-of-experts approach, incorpor…
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InfantFace model enhances neonatal face detection in clinical settings
Researchers have developed InfantFace, a specialized face detection model based on the YOLOv11m architecture, designed for use in neonatal clinical environments. The model addresses challenges like cluttered backgrounds…