Method: SAM6D

User jiehonglin
Publication SAM-6D: Segment Anything Model Meets Zero-Shot 6D Object Pose Estimation
Implementation https://github.com/JiehongLin/SAM-6D/
Training image modalities RGB-D
Test image modalities RGB-D
Description
Computer specifications GeForce RTX 3090 24G; Inter (R) Xeon (R) CPU E5-2678 v3 @ 2.50Ghz

Public submissions

Date Submission name Dataset
2023-11-18 00:42 - ITODD
2023-11-18 00:42 - T-LESS
2023-11-18 00:49 - YCB-V
2023-11-18 00:49 - HB
2023-11-18 00:49 - TUD-L
2023-11-18 00:49 - T-LESS
2023-11-18 00:50 - LM-O
2023-11-18 00:50 - ITODD
2023-11-18 00:50 - IC-BIN
2023-12-05 07:22 - T-LESS
2023-12-05 07:22 - TUD-L
2023-12-05 07:23 - LM-O
2023-12-05 07:27 - IC-BIN
2023-12-05 07:28 - HB
2023-12-05 07:28 - ITODD
2023-12-05 07:29 - YCB-V
2023-12-05 07:46 - TUD-L
2023-12-05 07:46 - T-LESS
2023-12-05 07:47 - LM-O
2023-12-05 07:47 - IC-BIN
2023-12-05 07:48 - ITODD
2023-12-05 07:50 - YCB-V
2023-12-05 07:50 - HB
2024-01-11 12:21 - HB
2024-01-11 12:21 - IC-BIN
2024-01-11 12:21 - ITODD
2024-01-11 12:22 - LM-O
2024-01-11 12:23 - T-LESS
2024-01-11 12:23 - TUD-L
2024-01-11 12:23 - YCB-V
2024-01-22 03:07 - HB
2024-01-22 03:07 - IC-BIN
2024-01-22 03:07 - ITODD
2024-01-22 03:08 - LM-O
2024-01-22 03:08 - T-LESS
2024-01-22 03:08 - TUD-L
2024-01-22 03:09 - YCB-V