Comments (4)
hi,
could I know more detail information of different parts?
I will check that and talk to you the reason
thanks.
jaesik.
from visual-interaction-networks_tensorflow.
Please have a look Page 11
https://arxiv.org/pdf/1706.01433.pdf
There are few more differences, for example you are feeding 6 image, but according to supplementary material they feed only 3.
from visual-interaction-networks_tensorflow.
Thank you for reply!!
I checked my code.
-
according to the supplementary material you should first concatenate and apply a linear layer, but you are for applying a linear layer and then doing the concatenation op why do you need this difference?
=> pair1-5 concatenated on sample channel before linear layer for making grouped input of the layer.
The concatenation as mentioned in paper is implemented at 124-7 lines on vin.py script. -
for example you are feeding 6 image, but according to supplementary material they feed only 3.
=> For designing Dynamics Predictor, 4 state codes are used as input. Each state code is generated with three imgs, thus total 6 imgs are needed for one sample.
Thanks.
Jaesik.
from visual-interaction-networks_tensorflow.
if you do not have any other issues, then I will close this
from visual-interaction-networks_tensorflow.
Related Issues (7)
- Checking Functionality with larger img then current size HOT 4
- THIS IS NOT AGI
- rel_num wrong. vim.py line 162. real_num=int(FLAGS.No*(FLAGS.N0-1)) HOT 3
- TypeError: 'range' object does not support item assignment HOT 2
- updating code to TF 1.4 HOT 1
- TypeError range object doesnโt support item assignment HOT 8
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from visual-interaction-networks_tensorflow.