zyang-ur / sat Goto Github PK
View Code? Open in Web Editor NEWSAT: 2D Semantics Assisted Training for 3D Visual Grounding, ICCV 2021 (Oral)
License: MIT License
SAT: 2D Semantics Assisted Training for 3D Visual Grounding, ICCV 2021 (Oral)
License: MIT License
I run the training code with command provided in README, the results are lower than that in the paper.
Accuracy | SAT | Reproduce |
---|---|---|
Nr3d | 49.2 | 46.0 |
ScanRefer | 53.8 | 51.4 |
How to get the 2D proposals from the video? Can you tell me the detailed method?
Thanks for your great job and code! The specific process of equipping the ReferIt3d has been explicitly explained in the "readme", however, I don't find how to equip the code with ScanRef dataset. Am I missing something you actually have mentioned?
Dears,
Thanks for sharing your amazing work.
I am just wondering if you will share the Feature Extraction Code for the 2D part?
I was planning to send to you asking for them but unfortunately, the contact info is not working.
Thanks in advance.
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