SUN RGB-D: A RGB-D scene understanding benchmark suite

Song, Shuran, Lichtenberg, Samuel P., Xiao, Jianxiong·2015·2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Cited by (1,003)

Items 401–500 of 1,003

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  70. Incomplete multi-view clustering via virtual-label guided matrix factorization
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  88. Incorporating depth into both CNN and CRF for indoor semantic segmentation
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  89. 2.5D Convolution for RGB-D Semantic Segmentation
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  90. Frustum VoxNet for 3D object detection from RGB-D or Depth images
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  91. A Survey on Deep Learning Based Methods and Datasets for Monocular 3D Object Detection
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  92. Boundary-induced and scene-aggregated network for monocular depth prediction
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  94. A survey of 3D object detection
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  97. Deep Learning for Vision-based Prediction: A Survey
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