PulseAugur
EN
LIVE 22:35:49
ENTITY YOLOv11

YOLOv11

PulseAugur coverage of YOLOv11 — every cluster mentioning YOLOv11 across labs, papers, and developer communities, ranked by signal.

Show in brief
Total · 30d
6
6 over 90d
Releases · 30d
0
0 over 90d
Papers · 30d
6
6 over 90d
TIER MIX · 90D
TOPICS
SENTIMENT · 30D

1 day(s) with sentiment data

RECENT · PAGE 1/1 · 6 TOTAL
  1. TOOL · CL_36973 ·

    New framework enables continuous multi-drone tracking with 99.8% handover success

    Researchers have developed a new framework for tracking multiple drones continuously in urban environments. This system addresses the challenge of trajectory fragmentation, where drone views lose vehicle identity. The p…

  2. TOOL · CL_63825 ·

    UAV tracking system uses topology handover to prevent trajectory fragmentation

    Researchers have developed a new framework for tracking multiple Unmanned Aerial Vehicles (UAVs) in real-time, addressing the issue of trajectory fragmentation. Their system uses a topology-based spatiotemporal handover…

  3. TOOL · CL_18732 ·

    CNNs outperform Transformers on tree canopy segmentation with limited data

    Researchers investigated the effectiveness of five different deep learning architectures, including YOLOv11, Mask R-CNN, DeepLabv3, Swin-UNet, and DINOv2, for tree canopy segmentation using a very limited dataset of onl…

  4. TOOL · CL_15766 ·

    AI model accurately detects road cracks using aerial imagery and OpenStreetMap data

    Researchers have developed a framework using open-source data to improve highway maintenance by localizing road cracks. The system integrates airborne imagery with OpenStreetMap data to fine-tune a YOLOv11 model for cra…

  5. RESEARCH · CL_14349 ·

    Deep learning system detects smoking in fire exits using YOLO models

    A research paper details a deep learning system designed for real-time smoking detection in fire exit zones using CCTV surveillance. The study evaluated YOLOv8, YOLOv11, and YOLOv12, developing a custom YOLOv8-derived m…

  6. RESEARCH · CL_06159 ·

    Aycromo platform uses deep learning for rapid chromosome detection

    Researchers have developed Aycromo, an open-source desktop platform designed to assist in cytogenetic analysis for diagnosing genetic diseases. This platform leverages deep learning models, specifically YOLOv11, to auto…