Fused DNN: A deep neural network fusion approach to fast and robust pedestrian detect
1.引言 行人檢測在視頻監控，個人識別，圖像檢索和駕駛輔助系統（ADAS）等多個領域有應用。實時準確的行人檢測是應用這種系統的關鍵。 行人檢測算法旨在實時繪製 描繪圖像中行人位置的 邊界框。 然而，由於精度和速度之間的折中，這是很難實現的[8]。 低分辨率輸入通常會導致快速的物體檢測，但性能較差，可以通過犧牲處理速度爲代價的高分辨率輸入來獲得更好的物體檢測性能。（不懂） 其他因素如密
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