Multi-Scale Deep Feature Fusion for Vehicle Re-Identification翻譯（IEEE2020）
多尺度深度特徵融合的車輛重識別 摘要 由於類間距離小，車輛重識別(re-id)具有挑戰性。相似車輛之間的差異可能非常細微，只能在特定的尺度和語義級別上被捕獲。在本文中，我們提出了一種新穎的多尺度深度特徵融合網絡(MSDeep)，可同時執行多尺度和多層次特徵以實現精確的車輛重識別。基於骨幹深度卷積神經網絡，MSDeep主要包含兩個模塊：1)多尺度融合(MSF)模塊，將多尺度流的組合封裝爲MSF特徵；
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相關文章
- 1. A NOVEL DEEP FEATURE FUSION NETWORK FOR REMOTE SENSING SCENE CLASSIFICATION（論文翻譯）
- 2. 論文翻譯--Deep Feature Flow for Video Recognition
- 3. MMF-《Deep Continuous Fusion for Multi-Sensor 3D Object Detection》論文翻譯
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