Guided Anchoring is an anchoring scheme for object detection which leverages semantic features to guide the anchoring. The method is motivated by the observation that objects are not distributed evenly over the image. The scale of an object is also closely related to the imagery content, its location and geometry of the scene. Following this intuition, the method generates sparse anchors in two steps: first identifying sub-regions that may contain objects and then determining the shapes at different locations.
Source: Region Proposal by Guided AnchoringPaper | Code | Results | Date | Stars |
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Task | Papers | Share |
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Object Detection | 2 | 40.00% |
Management | 1 | 20.00% |
Autonomous Driving | 1 | 20.00% |
Lane Detection | 1 | 20.00% |
Component | Type |
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🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |