4 votes

How does the region proposal method work in Fast R-CNN?

Yes, it is not specified because the region proposal algorithm did not change from R-CNN (the previous version from Fast R-CNN, however, in the next verion, Faster R-CNN, this algorithm is replaced by ...
JVGD's user avatar
  • 1,108
3 votes

Why are RNNs used in some computer vision problems?

There are tasks in computer vision where recurrent neural networks (RNNs) can be useful because there's some sequential sub-task in the main task. For instance, in the paper Long-Term Recurrent ...
nbro's user avatar
  • 40.6k
2 votes

Is it possible to pre-train a CNN in a self-supervised way so that it can later be used to solve an instance segmentation task?

Is it possible to use SSL to pre-train e.g. a faster R-CNN on a pretext task (for example, rotation), then use this pre-trained model for instance segmentation with the aim to get better accuracy? ...
nbro's user avatar
  • 40.6k
2 votes

How are OCR training datasets constructed?

OCR - optical character recognition identifies individual characters. So in the case of numbers, there are just 10 classes to learn. And this doesn't depend on how large numbers we are looking at. ...
NikoNyrh's user avatar
  • 767
2 votes
Accepted

Darknet as a part of Yolo v3

Lets start by listing what is what. RCNN : Is a type of CNN Model Resnet50, DarkNet53 and VGG : Are implementations of a CNN Model Now moving to your questions. Yes Darknet53 is the backbone of ...
Marib Sultan's user avatar
2 votes
Accepted

What to do when the ROIs are smaller than $227 \times 227$ in R-CNN?

It is actually very easy, I didn't know the solution would be that simple. With opencv, you can do : resized_roi= cv2.resize(roi, (224,224)) and that's it :]
Valentin's user avatar
1 vote

Is intersection of labels acceptable in computer vision?

In my opinion, the second option will be more general. You can refer to some famous datasets for object detection task such as COCO or Pascal VOC, they usually accept the intersect annotations. As the ...
CuCaRot's user avatar
  • 912
1 vote
Accepted

In Fast R-CNN, how are input RoIs mapped to the respective RoIs in the feature map before RoI pooling?

The ROIs in the input space are mapped to the feature map space, by dividing it by the net stride at that layer. Say, in a network, after a sequence of four 2x2 pooling layers, your image is reduced ...
Arjun Ashok's user avatar

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