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Collaborative Learning for Weakly Supervised Object Detection 算法筆記
時間 2020-12-20
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論文:Collaborative Learning for Weakly Supervised Object Detection 論文鏈接:https://arxiv.org/abs/1802.03531 弱監督目標檢測(weakly supervised object detection)是指不需要框標註,僅通過圖像級標籤就能做目標檢測。這方面的研究出發點主要是框標註的成本太高,而圖像級標籤相對
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相關文章
1.
論文閱讀筆記 | (IJCAI 2018 Oral) Collaborative Learning for Weakly Supervised Object Detection
2.
論文筆記(五) C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
3.
Object Instance Mining for Weakly Supervised Object Detection 論文筆記
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Deep Self-Taught Learning for Weakly Supervised Object Localization
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《Deep Self-Taught Learning for Weakly Supervised Object Localization》
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論文筆記(六)MELM:Min-Entropy Latent Model for Weakly Supervised Object Detection
9.
[CVPR2017] Deep Self-Taught Learning for Weakly Supervised Object Localization 論文筆記
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簡讀:Object-Aware Instance Labeling for Weakly Supervised Object Detection
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