CullNet: Calibrated and Pose Aware Confidence Scores for Object Pose Estimation
Open paper
Benchmark
Model
Rank
Results
6d-pose-estimation-on-linemod
CullNet
#13
Mean ADD: 78.3
Accuracy (ADD): 78.3%
Accuracy: 97.7%
6d-pose-estimation-using-rgb-on-occlusion
CullNet
#11
Mean ADD: 24.48
Rank counts only results with a code link.