Occluded video instance segmentation: dataset and challenge
Although deep learning methods have achieved advanced video object recognition performance in recent years, perceiving heavily occluded objects in a video is still a very challenging task. To promote the development of occlusion understanding, we collect a large-scale dataset called OVIS for video i...
| Autores principales: | , , , , , , , , , |
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| Formato: | Conference item |
| Lenguaje: | English |
| Publicado: |
NeurIPS
2021
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