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. VidSTG contains 5,563, 618, and 743 videos for training, validation, and testing, respectively.
Source: https://github.com/Guaranteer/VidSTG-DatasetBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
VidSTG
|
CG-STVG
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
