Arthur151 / ROMP

Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]
https://www.yusun.work/
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Data Used in Protocol 1, 2, and 3 #417

Open mkhoshle opened 1 year ago

mkhoshle commented 1 year ago

@Arthur151 Hi, I have been looking into the Tables on comparisons across various models. There are several protocols.

Thanks in advance,

Arthur151 commented 1 year ago

Hi Mahzad Khoshlessan,

If you are interested in the evaluation protocols on 3DPW used in ROMP, I think I can help.

The protocol 1 is borrowed from 3DPW challenge, ECCV 2020. We don’t use any data from 3DPW for training. We directly evaluate on the entire set (training, valuation, and test set) of 3DPW. Different from other single-person method that need to compute the bounding box using the ground truth 2D poses, ROMP don’t use any ground truth during inference. Especially, we use the evaluation code and ground truth provided by 3DPW challenge for evaluation, which is different from commonly used ground truth from VIBE.

The protocol 2 evaluate only on the test set. And the ground truth and evaluation code are brought from VIBE. Similarly, ROMP doesn’t use any ground truth during inference.

Best, Yu

mkhoshle commented 1 year ago

Hi @Arthur151 ,

Thanks for the feedback. I see. So the datasets that are used across protocols 1 and 2 during the training part are the same. Is this correct?

Thanks in advance,

mkhoshle commented 1 year ago

@Arthur151 I would really appreciate it if you could answer the above questions.

Thanks in advance,