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Hi. I read your paper interestingly and have some questions.
- The DA experiment(KITTI -> Cityscapes) that I understand is as follows, and I wonder if there's anything wrong with it's:
- training Faster RCNN as Cityscapes dataset
- After training KITTI -> Cityscapes I2I network(DUNIT), translating KITTI dataset to Cityscapes domain.
- Evaluating translated KITTI dataset with Faster RCNN
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I wonder if the dataset used to conduct the detection performance evaluation was the KITTI testing set or the training set used for the evaluation in part.
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You have evaluated a total of four classes(Person, Car, Truck, and Bicycle ). However, as far as I know, there is no Bicycle class in the KITTI dataset. Could you tell me how you evaluated this part?
Best,
Seokbeom
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