Benchmark for 6D Object Pose Estimation
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Submission: ocdit/LM-O/run.0_lmo_ens:18
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Submission name
run.0_lmo_ens:18
Submission time (UTC)
Oct. 14, 2025, 7:38 a.m.
User
mulmer
Task
Model-based 2D segmentation of unseen objects
Dataset
LM-O
Description
Evaluation scores
AP:
0.417
AP50:
0.783
AP75:
0.395
AP_large:
0.509
AP_medium:
0.467
AP_small:
0.073
AR1:
0.465
AR10:
0.470
AR100:
0.470
AR_large:
0.587
AR_medium:
0.515
AR_small:
0.073
average_time_per_image:
0.000
Method:
ocdit
User
mulmer
Publication
Ulmer, Maximilian, et al. "Conditional Latent Diffusion Models for Zero-Shot Instance Segmentation.", ICCV 2025
Implementation
https://github.com/DLR-RM/oc-dit
Training image modalities
RGB
Test image modalities
RGB
Description
Computer specifications