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License: Apache License 2.0
BiADT
License: Apache License 2.0
After running train.sh, the experimental results of Cityscapes ->Foggy Cityscapes were only 0.377mAP@50.
May I ask if you can upload the training log for c2fc_biadt.pth, or the training log after running train.sh.
Hi, sorry for bothering you.
I would like to ask about the input of Encoder.
In the paper, the architecture of the whole model is
In the paper, the section that introduces SABA and DABA module keeps mention about the query embedding
Are those queries for the "object query" in the above figure of architecture?
And, are those
Or encoder also needs extra query-tokens(from embedding) for input except the feature comes from ResNet50CNN or the previous encoder layer ?
Thanks.
Hi, I would like to ask about the Deformable Attention mechanism in the paper.
I went to the paper DEFORMABLE DETR: DEFORMABLE TRANSFORMERS
FOR END-TO-END OBJECT DETECTION and the Deformable Attention
compute different sample k for each query.
However, I see that it directly use
I am a little bit confused about that.
Thank you for your answer.
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