ForkGAN: Seeing into the rainy night. ECCV 2020 (oral). A task-agnostic image translation framework that can boost multiple vision tasks in adverse weather conditions, including localization, semantic segmentation and object detection.
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why is the result of the display of other methods in Fig. 5 very poor? #7
For the comparison of segmentation (BDD100K), I pay more attention to how other methods (Such as ToDayGAN. The result of ToDayGAN shown in Fig. 3 is good. But the result of the display of ToDayGAN in Fig. 5 is very poor.) are trained? Because other methods seem to show poor results. Are other methods pre-trained on the Cityscapes dataset?
For the comparison of segmentation (BDD100K), I pay more attention to how other methods (Such as ToDayGAN. The result of ToDayGAN shown in Fig. 3 is good. But the result of the display of ToDayGAN in Fig. 5 is very poor.) are trained? Because other methods seem to show poor results. Are other methods pre-trained on the Cityscapes dataset?