Improving Semantic Segmentation via Video Propagation and Label Relaxation (CVPR 2019)
CVPR 2019 oral paper:
Improving Semantic Segmentation via Video Propagation and Label Relaxation
State-of-the-art performance on popular semantic segmentation benchmarks: Cityscapes, CamVid, and KITTI.
Paper: https://arxiv.org/abs/1812.01593
Code: https://github.com/NVIDIA/semantic-segmentation
Project webpage: https://nv-adlr.github.io/publication/2018-Segmentation
Demo video on Cityscapes dataset: https://www.youtube.com/watch?v=0yCYro9H1kM&t
Видео Improving Semantic Segmentation via Video Propagation and Label Relaxation (CVPR 2019) канала Yi Zhu
Improving Semantic Segmentation via Video Propagation and Label Relaxation
State-of-the-art performance on popular semantic segmentation benchmarks: Cityscapes, CamVid, and KITTI.
Paper: https://arxiv.org/abs/1812.01593
Code: https://github.com/NVIDIA/semantic-segmentation
Project webpage: https://nv-adlr.github.io/publication/2018-Segmentation
Demo video on Cityscapes dataset: https://www.youtube.com/watch?v=0yCYro9H1kM&t
Видео Improving Semantic Segmentation via Video Propagation and Label Relaxation (CVPR 2019) канала Yi Zhu
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