Does larger object perform better in segmentation?












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According to the fcn model I implemented and the pascal voc benchmark
I find that object which have larger size in image receive better iou score or ap score in testset. Can anyone give me some tips about why this happened or










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    $begingroup$


    According to the fcn model I implemented and the pascal voc benchmark
    I find that object which have larger size in image receive better iou score or ap score in testset. Can anyone give me some tips about why this happened or










    share|improve this question







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    user66596 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      According to the fcn model I implemented and the pascal voc benchmark
      I find that object which have larger size in image receive better iou score or ap score in testset. Can anyone give me some tips about why this happened or










      share|improve this question







      New contributor




      user66596 is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
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      According to the fcn model I implemented and the pascal voc benchmark
      I find that object which have larger size in image receive better iou score or ap score in testset. Can anyone give me some tips about why this happened or







      deep-learning






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