in Tab. 3(c)，about different settings for generating featurized queries，you use learnable weight to set queries，but the AP drop to 34.0。Does it only include query feature or both query feature and query box ?

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?

Conifg: configs/queryrcnn.res50.100pro.3x.yaml
Results:
[07/02 18:39:24 d2.evaluation.testing]: copypaste: Task: bbox
[07/02 18:39:24 d2.evaluation.testing]: copypaste: AP,AP50,AP75,APs,APm,APl
[07/02 18:39:24 d2.evaluation.testing]: copypaste: 36.7532,53.7602,39.9495,22.2459,39.1920,46.0393

I use the default config, but the results is not right