abing222

> I have encountered many problems in the implementation process, including scale problems

> This is my code I implement, I can not promise it's right ` calculate the pose consistency loss :param poses: list of torch.tensor [B, 4, 4] transform those prediction...

> Updates: 1、I tried spatial-wise constraint start from a pre-trained model without the spatio-temporal constraints. It indeed better than w/o pretrained. However, it still worse than baseline model. Besides, I...

> @abing222 No. Only Self-oclussion mask work. STC and Pose consistency loss does not work. In my experiment, Only Self-oclussion mask absrel did not decline as much as the paper

> @abing222 No. Only Self-oclussion mask work. STC and Pose consistency loss does not work. At present, I can obtain the absolute scale through spatio, the accuracy decreases slightly. After...

Self-oclussion mask > > > @abing222 No. Only Self-oclussion mask work. STC and Pose consistency loss does not work. > > > > > > At present, I can obtain...

"By introducing spatial contexts (Equation 3), we not only further improve performance, but also learn scale-aware models by leveraging the camera extrinsics", What does scale-aware mean?

thank you very much，In my experiment，without additional supervision, due to the introduction of camera external parameters, the scales of space and temporal are inconsistent (absolute scale and relative scale), resulting...