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Video Person Re-identification with Competitive Snippet-similarity Aggregation and Co-attentive Snip
時間 2021-01-04
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一、介紹 在這篇文章中,作者通過「競爭性的片段相似度聚合」和「片段的協同注意力嵌入」的方法來解決視頻行人重識別問題。 具體來說,作者將兩個要計算相似度的長的視頻序列分成若干個等長片段(各自有Np和Ng個片段),然後計算各個片段間的相似度得到NpXNg的相似度矩陣,選擇前若干百分比的相似度求平均值作爲兩個視頻序列的相似度。通過這樣的方式,可以降低類內variation對視頻序列相似度估計的不利影響,
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相關文章
1.
CVPR 2018 行人重識別:Video Person Re-identification with Competitive Snippet-similarity Aggregation and..
2.
2019CVPR之ReID:Interaction-and-Aggregation Network for Person Re-identification
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