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This repository contains code and dataset splits for the paper "Classification by Attention: Scene Graph Classification with Prior Knowledge"

License: MIT License

Python 91.71% Makefile 0.33% Shell 1.50% Cython 1.16% Cuda 3.81% C 1.49%
scene-graph-classification classification schema visual-genome aaai pytorch self-supervised graphs knowledge-graph schemata

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schemata's Issues

where is the Prior Knowledge?

Great work!
Buy the way, I don’t know wether I missed some important information in this paper, it seems that there are no details about the Prior Knowledge (a prior knowledge base (ICP))?

Becides, "Later we will show that our model can accurately generate the PKG, i.e., the commonsense that is captured from perceptions during training."
I don’t seem to find the corresponding part.

thanks again :)

Add LICENSE file

Under what license is the code distributed? It would be important to add a LICENSE file otherwise it's difficult for others to reuse/modify it

Compare the two edge feature initialization methods

Thanks for your nice work in sgg :)
I notice that the edge feature has two initialization methods in RelModel. One is initialized by union feature and another is initialized by the spatial of subject and object. I am wondering their difference and why Schemata applies the latter method.
By the way, It seems that a learnable ScaleLayer is applied to scale the gradient of location_hlayer. Is a trick to make the training process stable? I don't know if there's anything wrong with what I understand.
Looking forward to your reply. Thanks again :)

Where is the details about Prior Knowledge?

Great work!
But I have an important question. How to get the embedding vector of the schema Sc in Section "Schemata"?
So, I wonder if you would consider sending me the details about the Schema Representations.

Thank you very much! :)

Code Release Date

Good morning,
thanks for your work in scene graph generation, very well done! I would like to ask when you plan to release the code of the project.
Thanks in advance and have a nice day!
Silvia

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