YOLOv11n
PulseAugur coverage of YOLOv11n — every cluster mentioning YOLOv11n across labs, papers, and developer communities, ranked by signal.
2 day(s) with sentiment data
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New framework enhances target tracking through occlusion
Researchers have developed a new framework designed to improve target tracking in scenarios involving full and long-term occlusion. This system integrates YOLOv11n object detection with a Kalman Filter for motion predic…
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New model links input resolution to object detection latency
Researchers have developed a new model to understand how input resolution affects the latency of real-time object detection systems. The model treats total latency as a convolution of preprocessing, inference, and postp…
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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 OWL framework sets SOTA for aerial wildlife surveys
Researchers have developed the Overhead Wildlife Locator (OWL), a new weakly supervised framework for aerial wildlife surveys. OWL offers three variants—OWL-C, OWL-T, and OWL-D—each tailored for different survey conditi…
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CADENet improves autonomous vehicle perception in bad weather
Researchers have developed CADENet, a novel system designed to improve object detection for autonomous vehicles operating in adverse weather conditions like rain, fog, and snow. This system employs a three-thread approa…