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Measuring Compositional Consistency for Video Question Answering

Research article (2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022) · cited 11× · AI/ML
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Measuring Compositional Consistency for Video Question Answering

Summary

Measuring Compositional Consistency for Video Question Answering is a scholarly article[1].

Key Facts

  • Measuring Compositional Consistency for Video Question Answering's instance of is recorded as scholarly article[2].

Related Entities

Maneesh Agrawala

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Measuring Compositional Consistency for Video Question Answering. Retrieved May 24, 2026, from https://4ort.xyz/entity/measuring-compositional-consistency-for-video-question-answering
MLA “Measuring Compositional Consistency for Video Question Answering.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/measuring-compositional-consistency-for-video-question-answering.
BibTeX @misc{4ortxyz_measuring-compositional-consistency-for-video-question-answering_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Measuring Compositional Consistency for Video Question Answering}}, year = {2026}, url = {https://4ort.xyz/entity/measuring-compositional-consistency-for-video-question-answering}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Measuring Compositional Consistency for Video Question Answering — https://4ort.xyz/entity/measuring-compositional-consistency-for-video-question-answering (retrieved 2026-05-24)

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