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What is: Disp R-CNN?

SourceDisp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation
Year2000
Data SourceCC BY-SA - https://paperswithcode.com

Disp R-CNN is a 3D object detection system for stereo images. It utilizes an instance disparity estimation network (iDispNet) that predicts disparity only for pixels on objects of interest and learns a category-specific shape prior for more accurate disparity estimation. To address the challenge from scarcity of disparity annotation in training, a statistical shape model is used to generate dense disparity pseudo-ground-truth without the need of LiDAR point clouds.