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Found 2 papers, 2 papers with code
VLG: General Video Recognition with Web Textual Knowledge
Our VLG is first pre-trained on video and language datasets to learn a shared feature space, and then devises a flexible bi-modal attention head to collaborate high-level semantic concepts under different settings.
OCSampler: Compressing Videos to One Clip with Single-step Sampling
Recent works prefer to formulate frame sampling as a sequential decision task by selecting frames one by one according to their importance, while we present a new paradigm of learning instance-specific video condensation policies to select informative frames for representing the entire video only in a single step.
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