Submission name | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Submission time (UTC) | Jan. 28, 2024, 2:53 p.m. | ||||||||||
User | SEU_WYL | ||||||||||
Task | Model-based 6D localization of seen objects | ||||||||||
Dataset | LM-O | ||||||||||
Description | |||||||||||
Evaluation scores |
|
User | SEU_WYL |
---|---|
Publication | |
Implementation | |
Training image modalities | RGB |
Test image modalities | RGB |
Description | Submitted to: BOP Challenge 2023 Training data: real + provided PBR Used 3D models: default Notes: Setting: One network (ResNet34) per object was trained (without Refinement) 2D Bounding Box: YOLOX (GDRNPP) Batch Size: 24 Epoch: 38k Learning Rate: 0.0002 |
Computer specifications |