Researchers have introduced Bridge-STG, an end-to-end framework that decouples temporal and spatial localization in spatio-temporal video grounding, addressing challenges posed by existing multimodal large language models. This innovation enhances semantic coherence between the temporal model and spatial decoder, significantly improving performance across multiple benchmarks and demonstrating strong cross-task transfer capabilities.
Read the full article at arXiv cs.CV (Vision)
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