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Learning Rich Features from RGB-D Images for Object Detection and Segmentation(ECCV2014)
時間 2020-12-23
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CSS
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論文:https://arxiv.org/abs/1407.5736 Abstract 在本文中,我們使用語義豐富的圖像和深度特徵研究RGB-D圖像的物體檢測問題。我們提出了一種新的地心嵌入geocentric embedding?用於深度圖像,除了水平差異之外,還爲每個像素編碼高於地面的高度和重力角度。我們證明這種地心嵌入?比使用原始深度圖像更好地學習使用卷積神經網絡的特徵表示。我們的最終物體檢
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1.
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