Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction

23 Mar 2018Petru SovianyRadu Tudor Ionescu

There are mainly two types of state-of-the-art object detectors. On one hand, we have two-stage detectors, such as Faster R-CNN (Region-based Convolutional Neural Networks) or Mask R-CNN, that (i) use a Region Proposal Network to generate regions of interests in the first stage and (ii) send the region proposals down the pipeline for object classification and bounding-box regression... (read more)

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