Boxy Vehicle Detection in Large Images
Abstract 基於相機的目標檢測與自動駕駛最近幾年整體發展迅速。部分這些改進可以歸因於公共數據集，使得全世界的研究者可以利用這些數據進行研究，避免個體隊伍花費大量的時間收集與標註數據。當前車輛檢測數據集與方法通常專注於解決座標軸平行的bbox或者語義分割任務。座標軸平行bbox通常會對車輛大小表示失真並且引入臨近的道路內容。語義分割會更加精確，但是他們更難處理與應用在軌跡規劃系統中。我們因
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相關文章
- 1. Dynamic Zoom-in Network for Fast Object Detection in Large Images
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- 4. Deep Multimodal Vehicle Detection in Aerial ISR Imagery譯文
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- 6. 3d fully convolutional network for vehicle detection in point cloud
- 7. （Paper）Robust Text Detection in Natural Scene Images
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- 9. Transferred Deep Learning-Based Change Detection in Remote Sensing Images
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