Does larger object perform better in segmentation?
$begingroup$
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
deep-learning
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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
deep-learning
New contributor
$endgroup$
add a comment |
$begingroup$
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
deep-learning
New contributor
$endgroup$
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
deep-learning
New contributor
New contributor
New contributor
asked 4 mins ago
user66596user66596
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