Temporal Early Exits for Efficient Video Object Detection Article Swipe

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Amin Sabet , Xun Lei , Jonathon Hare , Bashir M. Al‐Hashimi , Geoff V. Merrett ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.36227/techrxiv.24602019.v1

Efficiently transferring image-based object detectors to the domain of video remains challenging under resource constraints. Previous efforts used feature propagation to avoid recomputing unchanged features. However, the overhead is significant when working with very slowly changing scenes, such as in surveillance applications. In this paper, we propose temporal early exits to reduce the computational complexity of video object detection. Multiple temporal early exit modules with low computational overhead are inserted at early layers of the backbone network to identify the semantic differences between consecutive frames. Full computation is only required if the frame is identified as having a semantic change to previous frames; otherwise, detection results from previous frames are reused. Experiments on ImangeNet VID and TVnet show that the approach can accelerate video object detection by 1.7x compared to SOTA, with a reduction of only <1% in mAP.

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Computer science Overhead (engineering) Computer vision Artificial intelligence Object (grammar) Frame (networking) Object detection Feature (linguistics) Computation Domain (mathematical analysis) Reduction (mathematics) Computational complexity theory Pattern recognition (psychology) Algorithm Computer network Mathematics Philosophy Mathematical analysis Linguistics Operating system Geometry

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Type: preprint
Language: en
Landing Page: https://doi.org/10.36227/techrxiv.24602019.v1
PDF: https://www.techrxiv.org/doi/pdf/10.36227/techrxiv.24602019.v1
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Cited By: 1
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DOI: https://doi.org/10.36227/techrxiv.24602019.v1

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Title: Temporal Early Exits for Efficient Video Object Detection

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Language: en

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Publication year: 2023

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Publication date: 2023-11-29

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Authors: Amin Sabet, Xun Lei, Jonathon Hare, Bashir M. Al‐Hashimi, Geoff V. Merrett

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Landing page: https://doi.org/10.36227/techrxiv.24602019.v1

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Concepts: Computer science, Overhead (engineering), Computer vision, Artificial intelligence, Object (grammar), Frame (networking), Object detection, Feature (linguistics), Computation, Domain (mathematical analysis), Reduction (mathematics), Computational complexity theory, Pattern recognition (psychology), Algorithm, Computer network, Mathematics, Philosophy, Mathematical analysis, Linguistics, Operating system, Geometry

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Cited by: 1

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