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Hierarchical Deep Co-segmentation of Primary Objects in Aerial Videos
[article]
2018
arXiv
pre-print
Primary object segmentation plays an important role in understanding videos generated by unmanned aerial vehicles. In this paper, we propose a large-scale dataset with 500 aerial videos and manually annotated primary objects. To the best of our knowledge, it is the largest dataset to date for primary object segmentation in aerial videos. From this dataset, we find most aerial videos contain large-scale scenes, small primary objects as well as consistently varying scales and viewpoints. Inspired
arXiv:1806.10274v2
fatcat:tqymoteu5zfv3o6ghin2dumoii