Proposal Filtering
IoU-guided NMS
Introduced by Jiang et al. in Acquisition of Localization Confidence for Accurate Object DetectionIoU-guided NMS is a type of non-maximum suppression that help to eliminate the suppression failure caused by the misleading classification confidences. This is achieved through using the predicted IoU instead of the classification confidence as the ranking keyword for bounding boxes.
Source: Acquisition of Localization Confidence for Accurate Object Detection
Papers
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Usage Over Time
Components
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| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
