VidSTG
Introduced by Zhang et al. in Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences
The VidSTG dataset is a spatio-temporal video grounding dataset constructed based on the video relation dataset VidOR. VidOR contains 7,000, 835 and 2,165 videos for training, validation and testing, respectively. The goal of the Spatio-Temporal Video Grounding task (STVG) is to localize the spatio-temporal section of an untrimmed video that matches a given sentence depicting an object.
Source: https://github.com/Guaranteer/VidSTG-DatasetBenchmarks
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VidSTG
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CG-STVG
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Papers
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