| 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 (EfficientNet b4) per object was trained (without Refinement) 2D Bounding Box: YOLOX (GDRNPP) Authors: Yulin Wang, Chen Luo (Southeast University, Nanjing, China) and Hongli Li (Purdue University, West Lafayette, USA) |
| Computer specifications | GPU: RTX3080 CPU: E5-2680 v4 (7 vCPU) |
| Date | Submission name | Dataset | ||
|---|---|---|---|---|
| 2024-01-03 07:15 | - | T-LESS | ||
| 2024-01-14 15:00 | - | YCB-V | ||
| 2024-01-14 15:08 | - | TUD-L | ||
| 2024-01-14 16:24 | - | IC-BIN | ||
| 2024-01-28 13:56 | - | LM-O | ||
| 2024-02-08 12:03 | - | HB | ||
| 2024-02-10 22:18 | - | ITODD | ||
| 2024-02-16 11:55 | - | ITODD | ||
| 2024-02-29 09:16 | - | HB | ||
| 2024-02-29 09:51 | - | IC-BIN | ||
| 2024-02-29 10:36 | - | ITODD | ||
| 2024-02-29 10:43 | - | LM-O | ||
| 2024-02-29 11:41 | - | T-LESS | ||
| 2024-02-29 12:01 | - | TUD-L | ||
| 2024-02-29 12:17 | - | YCB-V |