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Rebuttal: 6DoF Scooping, 25 Demos

Created on August 17|Last edited on August 21
There are a lot of different experiments so maybe we split this into results for comparing fundamentally different methods, and results for comparing ablations?


Baselines (Different Methods)

I think I need to re-run some of the baselines.
Edit: OK interestingly after the fix where I don't do the SVD correction, somehow that actually slightly hurt performance on average for the image-based methods (CNN). Note: RGBD results are in the other wandb

Direct Vector MSE
5
Dense Transformation MSE
5
Image CNN (no augm)
5
TFN (lambda 0.1)
5
Image CNN (WITH augm)
5
Direct Vector P.M.
5
Dense Transformation P.M.
5
Image CNN (no augm) NO svd @runtime
5
Image CNN (WITH augm) NO svd @runtime
5


Ablation Studies for ToolFlowNet

Let's just use this for ablations, so this should be only for ToolFlowNet stuff!

TFN (lambda 0.0)
5
TFN (lambda 0.1)
5
TFN (lambda 0.5)
5
TFN (NO SKIPs)
5
TFN MSE after SVD
5
TFN PM before SVD
5
TFN (lambda 1.0)
5


Any GIFs?

Baselines ...

TODO ...

ToolFlowNet...

Epoch 500 from BC04_MMOneSphere_v02_ntrain_0025_PCL_PNet2_svd_pointwise_ee2flow_6DoF_ar_8_hor_100_scalePCL_noScaleTarg_2022_08_17_00_09_29_0005 with 100% success rate :)


ToolFlowNet (No Skip)

Yes, we are seeing the same thing, no rotations predicted.