Benchmark for 6D Object Pose Estimation
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Submission: ocdit/TUD-L/run:0_tudl_ens:11
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Submission name
run:0_tudl_ens:11
Submission time (UTC)
Oct. 17, 2025, 12:21 p.m.
User
mulmer
Task
Model-based 2D segmentation of unseen objects
Dataset
TUD-L
Description
Evaluation scores
AP:
0.522
AP50:
0.915
AP75:
0.523
AP_large:
0.562
AP_medium:
0.514
AP_small:
0.427
AR1:
0.555
AR10:
0.556
AR100:
0.556
AR_large:
0.603
AR_medium:
0.540
AR_small:
0.425
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