Mask-aware semi-supervised object detection in floor plans

HIGHLIGHTS

• who: Tahira Shehzadi et al. from the Department of Computer Science, Technical University of Kaiserslautern, Kaiserslautern, Germany have published the article: Mask-Aware Semi-Supervised Object Detection in Floor Plans, in the Journal: (JOURNAL) of 29/08/2022
• what: The authors examine the intersection of these two areas for floor-plan objects to promote the research objective of detecting more accurate objects with less labeled data. Another important benefit of this approach is that more weight is provided to the pseudo-label generator model rather than the training detector model, as it guides the training . . .
  

   

  

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