Papers with Top-down model

1 papers
On Pursuit of Designing Multi-modal Transformer for Video Grounding (2021.emnlp-main)

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Challenge: Existing methods for video grounding are not end-to-end, i.e., they rely on time-consuming post-processing steps to refine predictions.
Approach: They propose an end-to-end multi-modal Transformer model that uses two encoders and a cross-modal decoder for grounding prediction.
Outcome: The proposed model is 4.9% faster than existing models and is based on a set of encodings and decoders.

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