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VA-RED$^2$: Video Adaptive Redundancy Reduction

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Abstract

Performing inference on deep learning models for videos remains a challenge due to the large amount of computational resources required to achieve robust recognition. An inherent property of real-world videos is the high correlation of information across frames which can translate into redundancy in either temporal or spatial feature ma...More

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Author
Bowen Pan
Bowen Pan
Camilo Fosco
Camilo Fosco
Chung-Ching Lin
Chung-Ching Lin
Alex Andonian
Alex Andonian
Yue Meng
Yue Meng
Kate Saenko
Kate Saenko
Aude Oliva
Aude Oliva
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