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Object Pose Estimation on Occluded-LINEMOD Average Seen

83.4Accuracy (Acc@15)context-aware weight aggregation network
16.52833.88951.2568.611Mar 27, 2024

Evaluation results

MethodLinks
context-aware weight aggregation networkBackbone=SD-V2-0, Aggregation=CWA2024.0383.4
nonlinear aggregation networkBackbone=SD-V1-5, Aggregation=NA2024.0383.3
context-aware weight aggregation networkBackbone=DINOv2, Aggregation=CWA2024.0383.1
context-aware weight aggregation networkBackbone=SD-V1-5, Aggregation=CWA2024.0382.8
vanilla aggregation networkBackbone=SD-V1-5, Aggregation=VA2024.0382.5
context-aware weight aggregation networkBackbone=OpenCLIP, Aggregation=CWA2024.0381.9
Template-poseBackbone=ResNet2024.0379.4
Zhao et al.Backbone=ResNet2024.0356.1
MPLBackbone=MPL2024.0331.7
Wohlhart et al.Backbone=Wohlhart et al.2024.0319.5
Balntas et al.Backbone=Wohlhart et al.2024.0319.1