IntraDA_Youtube4K-CVPR2020 Oral 论文 IntraDA 视频效果 DEMO展示

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• feipan664:视频内容： Cityscapes: Cityscapes testing demo video from https://www.cityscapes-dataset.com/; Trained on GTA5: the segmentation network trained on GTA5 in a supervised way, without using any domain adaptation; Trained on Cityscapes: the segmentation network trained on 2975 annotated images from Cityscapes dataset; Ours (IntraDA): Our model uses GTA5 as source domain and unlabeled 2975 target images from Cityscapes.
• feipan664:欢迎关注我们的CVPR2020的Oral工作： Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision Fei Pan, Inkyu Shin, Francois Rameau, Seokju Lee, In So Kweon KAIST, Korea IEEE Conference on Computer Vision and Pattern Recoginition (CVPR), 2020 (Oral) Github： https://github.com/feipan664/IntraDA.git
• feipan664:Title: Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision Cityscapes: Cityscapes testing demo video from https://www.cityscapes-dataset.com/; Trained on GTA5: the segmentation network trained on GTA5 in a supervised way, without using any domain adaptation; Trained on Cityscapes: the segmentation network trained on 2975 annotated images from Cityscapes dataset; Ours (IntraDA): Our model uses GTA5 as source domain and unlabeled 2975 target images from Cityscapes. Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision Fei Pan, Inkyu Shin, Francois Rameau, Seokju Lee, In So Kweon KAIST, Korea IEEE Conference on Computer Vision and Pattern Recoginition (CVPR), 2020 (Oral) Github： https://github.com/feipan664/IntraDA.git