ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos

Research article (2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023) · cited 12× · AI/ML
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ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos

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ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos. Retrieved May 24, 2026, from https://4ort.xyz/entity/anetqa-a-large-scale-benchmark-for-fine-grained-compositional-reasoning-over-untrimmed-videos
MLA “ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/anetqa-a-large-scale-benchmark-for-fine-grained-compositional-reasoning-over-untrimmed-videos.
BibTeX @misc{4ortxyz_anetqa-a-large-scale-benchmark-for-fine-grained-compositional-reasoning-over-untrimmed-videos_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos}}, year = {2026}, url = {https://4ort.xyz/entity/anetqa-a-large-scale-benchmark-for-fine-grained-compositional-reasoning-over-untrimmed-videos}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): ANetQA: A Large-scale Benchmark for Fine-grained Compositional Reasoning over Untrimmed Videos — https://4ort.xyz/entity/anetqa-a-large-scale-benchmark-for-fine-grained-compositional-reasoning-over-untrimmed-videos (retrieved 2026-05-24)

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