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Hello author, Thx for your great work! As I am using your repo, I find this model hard to converge compared to normal object detection. Thus, is it possible for you to share a training log of Swin-T model (or any other model)? Many thanks for that!
The text was updated successfully, but these errors were encountered:
Here is the log.txt of QAHOI-Swin-Tiny with (x1,x2,x3 multi-scale feature maps) trained from scratch.
For saving test time, we use the QPIC's evaluation code during training, which is faster than the evaluation code of GGNet, and the result is slightly higher than GGNet's.
And the NMS process was also not used during training.
The final result is obtained by using GGNet's evaluator with the NMS process.
Hello author, Thx for your great work! As I am using your repo, I find this model hard to converge compared to normal object detection. Thus, is it possible for you to share a training log of Swin-T model (or any other model)? Many thanks for that!
The text was updated successfully, but these errors were encountered: