Image: You et al
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In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images.
In this paper, we provide substantial advances to the pseudo-LiDAR framework through improvements in stereo depth estimation.
In this paper, we study the problem of 3D object detection from stereo images, in which the key challenge is how to effectively utilize stereo information.
However, in this paper we argue that it is not the quality of the data but its representation that accounts for the majority of the difference.