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| Compared with other diffusionbased models, it enjoys faster inference speed, fewer parameters, and higher consistent depth accuracy. | Compared with other diffusionbased models, it enjoys faster inference speed, fewer parameters, and higher consistent depth accuracy. | We introduce videomme, the firstever fullspectrum, m ulti m odal e valuation benchmark of mllms in video analysis. |
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| This work presents video depth anything based on depth anything v2, which can be applied to arbitrarily long videos without compromising quality, consistency, or generalization ability. | It brings together all the techniques allowing the constitution or restitution of electrical signal representing moving images. | This work presents video depth anything based on depth anything v2, which can be applied to arbitrarily long videos without compromising quality, consistency, or generalization ability. |
| It can proactively update responses during a stream, such as recording activity changes or helping with the next steps in real time. | It is designed to comprehensively assess the capabilities of mllms in processing video data, covering a wide range of visual domains, temporal durations, and data modalities. |
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