Spatio-temporal Scene Graphs

2 papers with code • 0 benchmarks • 0 datasets

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Most implemented papers

Action Genome: Actions as Composition of Spatio-temporal Scene Graphs

mcg-nju/trace 15 Dec 2019

Next, by decomposing and learning the temporal changes in visual relationships that result in an action, we demonstrate the utility of a hierarchical event decomposition by enabling few-shot action recognition, achieving 42. 7% mAP using as few as 10 examples.

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

MILVLG/anetqa-code CVPR 2023

A recent benchmark AGQA poses a promising paradigm to generate QA pairs automatically from pre-annotated scene graphs, enabling it to measure diverse reasoning abilities with granular control.