Guided Anchoring

Guided Anchoring

What is Guided Anchoring? Guided Anchoring is a method used in object detection that involves using semantic features to guide anchoring. The idea behind this method is to recognize that objects are not distributed evenly over an image and that the size of an object is closely related to the imagery content, location, and geometry of the scene. As such, Guided Anchoring generates sparse anchors in two steps: identifying sub-regions that may contain objects and determining the shapes at differen

Probabilistic Anchor Assignment

Probabilistic Anchor Assignment

What is Probabilistic Anchor Assignment? Probabilistic anchor assignment (PAA) is a method used in object detection to adaptively separate a set of anchors into positive and negative samples for a ground truth (GT) box according to the learning status of the model associated with it. This method works by using a scoring system to identify the useful cues that the model relies on to detect the target object in each anchor. How it works To start with, a score is defined for a detected bounding

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