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End-to-end representation learning for Correlation Filter based tracking 閱讀
時間 2021-01-13
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Siamese based tracker
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作者嘗試將correlation filter (CF) 添加到深度學習網絡框架中,把CF作爲CNN的一個特別的層,以期待得到快速且高精度的跟蹤性能。把CF在線的有效學習能力與CNN離線階段的特徵判別能力結合在一起進行端到端的訓練。 Abstract: The Correlation Filter is an algorithm that trains a linear template to d
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相關文章
1.
CFNet:End-to-end representation learning for Correlation Filter based tracking
2.
走進VOT--《End-to-end representation learning for Correlation Filter based tracking》 閱讀筆記 CFnet-master
3.
[CVPR2017]CFNet_End-to-end representation learning for Correlation Filter based tracking
4.
CVPR 2017 CFNet:《End-to-end representation learning for Correlation Filter based tracking》論文筆記
5.
DCFNet: Discriminant Correlation Filters Network for Visual Tracking 閱讀
6.
EDCF閱讀筆記:Reinforced Representation Learning for High Performance Visual Tracking
7.
An Experimental Survey on Correlation Filter-based Tracking
8.
Learning Spatially Regularized Correlation Filters for Visual Tracking (SRDCF)
9.
轉載——correlation filter tracking,
10.
[NLP論文閱讀] Discourse-Based Objectives for Fast Unsupervised Sentence Representation Learning
>>更多相關文章<<