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Found 5 papers, 1 papers with code
EdgeNet: Semantic Scene Completion from a Single RGB-D Image
Semantic scene completion is the task of predicting a complete 3D representation of volumetric occupancy with corresponding semantic labels for a scene from a single point of view.
Ranked #22 on
3D Semantic Scene Completion
on NYUv2
Domain adaptation for holistic skin detection
Human skin detection in images is a widely studied topic of Computer Vision for which it is commonly accepted that analysis of pixel color or local patches may suffice.
Hand range of motion evaluation for Rheumatoid Arthritis patients
This framework estimates angle measurements from joints computed by a hand pose estimation algorithm using a depth sensor (Realsense SR300).
Document classification using a Bi-LSTM to unclog Brazil's supreme court
The Brazilian court system is currently the most clogged up judiciary system in the world.
Semantic Scene Completion Combining Colour and Depth: preliminary experiments
Semantic scene completion is the task of producing a complete 3D voxel representation of volumetric occupancy with semantic labels for a scene from a single-view observation.
Ranked #23 on
3D Semantic Scene Completion
on NYUv2
