Made to order: discovering monotonic temporal changes via self-supervised video ordering
Our objective is to discover and localize monotonic temporal changes in a sequence of images. To achieve this, we exploit a simple proxy task of ordering a shuffled image sequence, with ‘time’ serving as a supervisory signal, since only changes that are monotonic with time can give rise to the corre...
| Main Authors: | , , |
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| Format: | Conference item |
| Language: | English |
| Published: |
Springer
2024
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