Benchmark for 6D Object Pose Estimation
HOME
CHALLENGES
DATASETS
TASKS
LEADERBOARDS
SUBMIT RESULTS
Sign in
Submission: ocdit/HB/run.0_hb_ens:7
Download submission
Submission name
run.0_hb_ens:7
Submission time (UTC)
Oct. 14, 2025, 7:37 a.m.
User
mulmer
Task
Model-based 2D segmentation of unseen objects
Dataset
HB
Description
Evaluation scores
AP:
0.562
AP50:
0.775
AP75:
0.652
AP_large:
0.796
AP_medium:
0.568
AP_small:
0.030
AR1:
0.588
AR10:
0.589
AR100:
0.589
AR_large:
0.828
AR_medium:
0.591
AR_small:
0.030
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