Benchmark for 6D Object Pose Estimation
HOME
CHALLENGES
DATASETS
TASKS
LEADERBOARDS
SUBMIT RESULTS
Sign in
Submission: ocdit/HB/run.1.1_ens13
Download submission
Submission name
run.1.1_ens13
Submission time (UTC)
Oct. 20, 2025, 11:08 p.m.
User
mulmer
Task
Model-based 2D segmentation of unseen objects
Dataset
HB
Description
Evaluation scores
AP:
0.601
AP50:
0.829
AP75:
0.704
AP_large:
0.735
AP_medium:
0.608
AP_small:
0.018
AR1:
0.622
AR10:
0.623
AR100:
0.623
AR_large:
0.751
AR_medium:
0.628
AR_small:
0.018
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