Papers with generalization and domain-specific information

1 papers
Scene-robust Natural Language Video Localization via Learning Domain-invariant Representations (2023.findings-acl)

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Challenge: Recent studies have focused on improving performance with the assumption of independently identical data distribution while ignoring out-of-distribution data.
Approach: They propose a scene-robust NLVL problem and a generalizable framework to learn a robust model.
Outcome: The proposed model learns generalizable domain-invariant representations by alignment and decomposition.

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