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Learning Sample Importance for Cross-Scenario Video Temporal Grounding
To this end, we propose a novel method called Debiased Temporal Language Localizer (DebiasTLL) to prevent the model from naively memorizing the biases and enforce it to ground the query sentence based on true inter-modal relationship.
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