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Why not predict the coordinate of the center of bounding box and regress the height and width directly? #173

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zhangrong1722 opened this issue Dec 1, 2020 · 1 comment

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@zhangrong1722
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zhangrong1722 commented Dec 1, 2020

Dear authors,
Thank you for your amazing work firstly. After reading your paper, I found the proposed method uses CNN get the feature map after inputing an image and then predict the top-left and bottom-right keypoint of bounding box, which needs a grouping operation for detected keypoints that may don't work well for crowded people. I wonder whether we can predict the coordinate of the center of bounding box and regress the height and width such that there is no need for following grouping operation.

Thanks.

@ivanpuhachov
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This is what was done in its successor - CenterNet ("Objects as Points")

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