From what I can see most object detection NNs (Fast(er) R-CNN, YOLO etc) are trained on data including bounding boxes indicating where in the picture the objects are localized.

Is there any model that can be trained with image+label data (without bounding box data) to predict the bounding box(es) ?

I am referring following papers

These papers are not recent and I am not able to find any recent papers related to this . Please let me know if there are any other resources related to available .

Thanks in advance

  • $\begingroup$ both links send me to the same place :o $\endgroup$ Nov 13, 2018 at 14:00
  • $\begingroup$ Thanks for noticing @JérémyBlain ......Now it will send you to different place $\endgroup$
    – Rahul
    Nov 13, 2018 at 17:39


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