Anchor diffusion for unsupervised video object segmentation
Unsupervised video object segmentation has often been tackled by methods based on recurrent neural networks and optical flow. Despite their complexity, these kinds of approach tend to favour short-term temporal dependencies and are thus prone to accumulating inaccuracies, which cause drift over time...
| Main Authors: | , , , , , |
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| Format: | Conference item |
| Published: |
IEEE
2020
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