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CVPR 2018 RASNet:《Learning Attentions: Residual Attentional Siamese Network for Tracking》論文筆記
時間 2020-12-23
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理解出錯之處望不吝指正。 本文模型叫做RASNet,在Siamese框架下重構了CF,提出了三種attention機制(general、residual、channel),這三種attention的提出使得離線訓練的特徵表示可以適應在線跟蹤的目標,同時避免過擬合。 傳統的Siamese使用f(z, x)函數對跟蹤目標z和search image x進行評價: 作者認爲,不
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相關文章
1.
RASNet閱讀筆記:Learning Attentions: Residual Attentional Siamese Network for High Performance Online Vis
2.
Learning Attentions: Residual Attentional Siamese Network for High Performance 論文讀後感
3.
Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Track筆記
4.
Siamese Attentional Keypoint Network for High Performance Visual Tracking--論文筆記
5.
CVPR 2018 SA-Siam:《A Twofold Siamese Network for Real-Time Object Tracking》論文筆記
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論文閱讀筆記 A Twofold Siamese Network for Real-Time Object Tracking [2018 CVPR] (SA-Siam)
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ICCV 2017 DSiam:《Learning Dynamic Siamese Network for Visual Object Tracking》論文筆記
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ECCV 2018 《Triplet Loss in Siamese Network for Object Tracking》論文筆記
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CVPR 2018 LSART:《Learning Spatial-Aware Regressions for Visual Tracking》論文筆記
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