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Real-time spatio-temporal action localization via learning ...
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由 Y Liu 著作2020被引用 11 次 — Most state-of-the-art spatio-temporal (S-T) action localiza- tion methods explicitly use optical flow as auxiliary motion informa- tion.
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Real-Time Spatio-Temporal Action Localization via ...
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由 Y Liu 著作2020被引用 11 次 — Most state-of-the-art spatio-temporal (S-T) action localization methods explicitly use optical flow as auxiliary motion information.
Real-time Spatio-temporal Action Localization via Learning ...
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Abstract. Most state-of-the-art spatio-temporal (S-T) action localization methods explicitly use optical flow as auxiliary motion information.
ACCV 2020 papers - CVF Open Access
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由 Y Liu 著作2020被引用 11 次 — Most state-of-the-art spatio-temporal (S-T) action localization methods explicitly use optical flow as auxiliary motion information. Although the combination of ...
Learning motion representation for real-time spatio ...
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由 D Zhang 著作2020被引用 64 次 — We propose a novel spatio-temporal action localization approach with an integrated optical flow sub-network to address these two issues.
[PDF] Real-Time Spatio-Temporal Action Localization via ...
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This work proposes a framework driven by the notion of hierarchical predictive learning to construct actor-centered features by attention-based ...
Real-Time Spatio-Temporal Action Localization via ...
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Most state-of-the-art spatio-temporal (S-T) action localization methods explicitly use optical flow as auxiliary motion information.
Real-Time Spatio-Temporal Action Localization via ...
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Most state-of-the-art spatio-temporal (S-T) action localization methods explicitly use optical flow as auxiliary motion information.
Pattern Recognition
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由 D Zhang 著作2020被引用 64 次 — In this work, we firstly argue that a real-time action localization model should be able to localize human actions spatio- temporally without pre-computing ...
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(PDF) Real-Time Spatio-Temporal Action Localization via ...
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In this paper, we exploit better ways to use motion information in a unified end-to-end trainable network architecture. First, we use knowledge distillation to ...