ST-GD adapts Grounding DINO with about 10 million trainable parameters via adapters and a temporal decoder to achieve competitive performance on limited-data spatio-temporal video grounding benchmarks.
Embracing con- sistency: A one-stage approach for spatio-temporal video grounding.Advances in Neural Information Processing Sys- tems, 35:29192–29204, 2022
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Unlocking the Potential of Grounding DINO in Videos: Parameter-Efficient Adaptation for Limited-Data Spatial-Temporal Localization
ST-GD adapts Grounding DINO with about 10 million trainable parameters via adapters and a temporal decoder to achieve competitive performance on limited-data spatio-temporal video grounding benchmarks.