Cone : An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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Computer Science

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Model Computer Science
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Speed-up Computer Science
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High Efficiency Computer Science
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And-States Computer Science
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Benchmark Computer Science
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Performance Gain Computer Science
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Natural Languages Computer Science
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Selection Strategy Computer Science
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Computation Cost Computer Science
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Computational Lingu... Computer Science
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Sliding Window Mech... Computer Science
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Contrastive Learnin... Computer Science
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Inference Computati... Computer Science

Keyphrases

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Coarse-to-fine Keyphrases
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Long Videos Keyphrases
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Fine Alignment Keyphrases
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Temporal Video Grou... Keyphrases
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Cross-modal Alignme... Keyphrases
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Window Selection Keyphrases
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Computation Cost Keyphrases
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Selection Strategy Keyphrases
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Performance Gain Keyphrases
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Selection Mechanism Keyphrases
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Short Video Keyphrases
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Sliding Window Meth... Keyphrases
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Computational Lingu... Keyphrases
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Plug-and-play Keyphrases
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Ground Model Keyphrases
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High Efficiency Keyphrases
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Challenging Problem... Keyphrases
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Emerging Problems Keyphrases
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Inference Time Keyphrases
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Natural Language Qu... Keyphrases
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Contrastive Learnin... Keyphrases

INIS

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alignment INIS
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cones INIS
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speed INIS
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learning INIS
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comparative evaluat... INIS
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performance INIS
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cost INIS
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calculation methods INIS
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efficiency INIS
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gain INIS
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natural language INIS
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benchmarks INIS
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plugs INIS
Research OutputsResearch Output authored by Cone is tagged with the concept