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DDG-Net: Discriminability-Driven Graph Network for ...
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由 X Tang 著作2023被引用 14 次 — Weakly-supervised temporal action localization (WTAL) is a practical yet challenging task. Due to large-scale datasets, most existing methods use a network ...
GitHub - XiaojunTang22/ICCV2023-DDGNet: DDG-Net
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Weakly-supervised temporal action localization (WTAL) is a practical yet challenging task. Due to large-scale datasets, most existing methods use a network ...
Supplementary Material for “DDG-Net: Discriminability- ...
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Supplementary Material for “DDG-Net: Discriminability-Driven Graph. Network for Weakly-supervised Temporal Action Localization”. 1. Pre-classification ...
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DDG-Net: Discriminability-Driven Graph Network for ...
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2018) propose the Boundary Sensitive Network (BSN) to generate high-quality temporal proposals by modeling boundary probability and evaluating proposal ...
Discriminability-Driven Graph Network for Weakly ...
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2024年5月10日 — DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization论文阅读 · 1. Introduction · 2. Related Work · 3.
Discriminability-Driven Graph Network for Weakly ...
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2024年9月8日 — Abstract. Weakly-supervised temporal action localization (WTAL) is a practical yet challenging task. Due to large-scale datasets, most existing ...
DDG-Net：弱监督时间动作定位的判别驱动图网络（ICCV 2023）
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2024年10月21日 — <DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization>.
Weakly Supervised Temporal Action Localization
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Considering this phenomenon, we propose Discriminability-Driven Graph Network (DDG-Net), which explicitly models ambiguous snippets and discriminative snippets ...
Xiaojun Tang
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Considering this phenomenon, we propose Discriminability-Driven Graph Network (DDG-Net), which explicitly models ambiguous snippets and discriminative snippets ...
ACGNet: Action Complement Graph Network for Weakly ...
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This paper enhances segment-level representations with a simple yet effective graph convolutional network, namely action complement graph network (ACGNet) ...