Method: HccePose(efficientnet-b4 & Default 2D BBOX)

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)

Batch Size: 12

Epoch: 60k

Learning Rate: 0.0002

GPU: RTX3080

CPU: E5-2680 v4 (7 vCPU)

Computer specifications

Public submissions

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