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...
| Main Authors: | , , , , , , , , , |
|---|---|
| Format: | Conference item |
| Language: | English |
| Published: |
NeurIPS
2021
|