Original article was published on Deep Learning on Medium
Reading: Cascade R-CNN — Delving into High Quality Object Detection (Object Detection)
In this story, Cascade R-CNN, by UC San Diego, is briefly described. Prior deep learning object detectors’ performance tends to degrade with increasing the IoU (Interaction over Union) thresholds. They usually suffer from two main factors:
- Overfitting during training, due to exponentially vanishing positive samples, i.e. lot of positive samples are gone when IoU threshold increases.
- Inference-time mismatch between the IoUs for which the detector is optimal and those of the input hypotheses. e.g.: training at higher(lower) IoU threshold but test at lower(higher) IoU threshold.