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Keyword: probabilistic scoring ×Clear all

2 claims from 1 paper

1. Computer Science › Advanced Neural Network Applications

   Probabilistic Anchor Assignment with IoU Prediction for Object Detection

   Kim and Lee · Lecture notes in computer science · 2020

   The paper proposes a probabilistic way to assign anchors as positive or negative training samples, plus an IoU prediction step, added to RetinaNet to improve object detection efficiently.

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   1. UncheckedThe authors' object detection models set new records among single-stage detectors on the MS COCO test-dev dataset, using various backbones.“Especially, our models set new records for single-stage detectors on MS COCO test-dev dataset with various backbones.”
   2. UncheckedThe proposed methods add only one convolutional layer to the RetinaNet baseline and need no multiple anchors per location, which the authors say makes them efficient.“The proposed methods only add a single convolutional layer to RetinaNet baseline and does not require multiple anchors per location, so are efficient.”