User | sp9103 |
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Publication | Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects, CVPR 2024 |
Implementation | - |
Training image modalities | RGB-D |
Test image modalities | RGB-D |
Description | We use GigaPose [A] to extract 5 hypothesis and run GenFlow[B]. [A] Nguyen et al.: GigaPose: Fast and Robust Novel Object Pose Estimation via One Correspondence, CVPR 2024. [B] Genflow: Generalizable recurrent flow for 6d pose refinement of novel objects, CVPR 2024 |
Computer specifications | V100 |
Date | Submission name | Dataset | ||
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2023-11-30 06:44 | - | LM-O | ||
2023-11-30 06:45 | - | T-LESS | ||
2023-11-30 06:45 | - | TUD-L | ||
2023-11-30 06:46 | - | IC-BIN | ||
2023-11-30 06:46 | - | HB | ||
2023-11-30 06:47 | - | ITODD | ||
2023-11-30 06:55 | - | YCB-V | ||
2024-09-18 10:09 | - | LM-O | ||
2024-09-18 10:10 | - | T-LESS | ||
2024-09-18 10:10 | - | TUD-L | ||
2024-09-18 10:10 | - | IC-BIN | ||
2024-09-18 10:11 | - | ITODD | ||
2024-09-18 10:11 | - | HB | ||
2024-09-18 10:11 | - | YCB-V |