TriHorn-Net: A Model for Accurate Depth-Based 3D Hand Pose Estimation
Open paper
Benchmark
Model
Rank
Results
hand-pose-estimation-on-icvl-hands
TriHorn-Net
#2
Average 3D Error: 5.73
hand-pose-estimation-on-msra-hands
TriHorn-Net
#1
Average 3D Error: 7.13
hand-pose-estimation-on-nyu-hands
TriHorn-Net
#3
Average 3D Error: 7.68
Rank counts only results with a code link.