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DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation.
Tuo Cao
Fei Luo
Yanping Fu
Wenxiao Zhang
Shengjie Zheng
Chunxia Xiao
Published in:
CoRR (2022)
Keyphrases
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end to end
convolutional network
convolutional neural networks
edge information
admission control
depth map
edge detection
pose estimation
congestion control
transport layer
image segmentation
computational complexity
object recognition
computer vision
edge detector
feature extractor
real world