Ms-faster r-cnn: multi-stream backbone for improved faster r-cnn object detection and aerial tracking from uav images

HIGHLIGHTS

• who: Danilo Avola et al. from the Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy have published the paper: MS-Faster R-CNN: Multi-Stream Backbone for Improved Faster R-CNN Object Detection and Aerial Tracking from UAV Images, in the Journal: (JOURNAL)
• what: The authors propose a novel DL model, namely, the Multi-Stream Faster R-CNN, to provide reliable features at different flight heights for improving tracking by UAVs. DRCF Ours Ours DRCF DRCF Ours DRCF Ours DRCF Ours Ours DRCF 14 of 18 of why the model has . . .
  

   

  

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