Questions tagged [faster-r-cnn]

For questions related to the faster R-CNN model, which was proposed in "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks" (2015) by Shaoqing Ren et al. and published in NeurIPS. Faster R-CNN is an improved version of fast R-CNN, which, in turn, is an improved version of R-CNN.

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Confusion about faster RCNN neither object nor background label

I am trying to construct a faster RCNN from scratch using KERAS. I am generating the tensor which contains whether anchor at each location corresponds to object or background or neither for training ...
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How to design training loop in RPN?

I have a short question. I understand the concept of RPN but one small details keeps me from implementing it. How should I design the training loop given that I have to use only a subset of anchor ...
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How does the region proposal method work in Fast R-CNN?

I read so many articles and the Fast R-CNN paper, but I'm still confused about how the region proposal method works in Fast R-CNN. As you can see in the image below, they say they used a proposal ...
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In Faster R-CNN, how can I get the predicted bounding box given the neural network's output?

The RPN loss in Faster RCNN paper is $$ L({p_i}, {t_i}) = \frac{1}{N_{cls}} \sum_{i} L_{cls}(p_i,p_i^*) + \lambda \frac{1}{N_{reg}} \sum_i p_i^* L_{reg}(t_i, t_i^*) $$ For regression problems, we have ...