Featurized-QueryRCNN
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Question about the design of QGN
Hello~ Thanks for your great work! I have some question about the label assignment in QGN. It seems that you follow the design of "End-to-End Object Detection with Fully Convolutional Network". Have you tried the label assignment proposed in OneNet (What Makes for End-to-End Object Detection?), What about the performance?
Hello~ Thanks for your great work! I have some question about the label assignment in QGN. It seems that you follow the design of "End-to-End Object Detection with Fully Convolutional Network". Have you tried the label assignment proposed in OneNet (What Makes for End-to-End Object Detection?), What about the performance?
Thanks for your ask, we temporarily define two label-assignment methods as "sum" and "multi". The two methods are generally similar, ”multi“ has 0.1% AP gain than "sum" at some settings.