Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
Published: Jun 1, 2020
Abstract
In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images. Many recent works solve this problem by first recovering a point cloud with disparity estimation and then apply a 3D detector. The disparity map is computed for the entire image, which is costly and fails to leverage category-specific prior. In contrast, we design an instance disparity estimation network (iDispNet) that predicts disparity only...
Paper Details
Title
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
Published Date
Jun 1, 2020
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