Early fusion of depth maps with RGB images improved Faster R-CNN object detection on a 301-image manufacturing parts dataset, raising mean average precision from 0.425 to 0.480.
A Framework and Cyber-Physical System Architecture for Cloud-Based Con- struction Monitoring with Autonomous Quadrupeds
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Multimodal Object Detection using Depth and Image Data for Manufacturing Parts
Early fusion of depth maps with RGB images improved Faster R-CNN object detection on a 301-image manufacturing parts dataset, raising mean average precision from 0.425 to 0.480.