Hey I was thinking of using a bounding box detector which detects all the bounding boxes for the object instances in the image. I have seen in the paper that you guys used faster rcnn for the same. Was there any particular reason for using the faster rcnn for bounding box. Is that the best option for detecting the bounding box with faster response time. I really want to use an automatic bbox detector for some evaluation for my master thesis. It would be great if you guys could shed some light on this. :)
Hey I was thinking of using a bounding box detector which detects all the bounding boxes for the object instances in the image. I have seen in the paper that you guys used faster rcnn for the same. Was there any particular reason for using the faster rcnn for bounding box. Is that the best option for detecting the bounding box with faster response time. I really want to use an automatic bbox detector for some evaluation for my master thesis. It would be great if you guys could shed some light on this. :)