SHLE is a stereo pipeline with device tracking and temporal depth filtering that estimates height limits with under 10cm average error at 70m distance on the new Disparity Height dataset.
”Unet++: A nested u-net architecture for medical image segmentation.” Deep learning in medical image analysis and multimodal learning for clinical decision support
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2022 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
SHLE: Devices Tracking and Depth Filtering for Stereo-based Height Limit Estimation
SHLE is a stereo pipeline with device tracking and temporal depth filtering that estimates height limits with under 10cm average error at 70m distance on the new Disparity Height dataset.