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Hello, thank you very much for providing the code. However, in the paper, you said that "The predicate probability pˆ𝑝𝑟𝑑 is predicted by a multi-layer perceptron concatenating the corresponding subject representation, object representation, and spatial feature vector, which can be formulated as:
pˆ𝑝𝑟𝑑 = softmax(MLP([Q𝑠,Q𝑜,V𝑠𝑝𝑎]))."
But in the source code, I don't see this concatenating, I just see that you used sub heatmap for prediction. Could you explain it to me. Thank you very much
In RelTR model:
and in Transformer:
The text was updated successfully, but these errors were encountered:
Hello, thank you very much for providing the code. However, in the paper, you said that "The predicate probability pˆ𝑝𝑟𝑑 is predicted by a multi-layer perceptron concatenating the corresponding subject representation, object representation, and spatial feature vector, which can be formulated as:
pˆ𝑝𝑟𝑑 = softmax(MLP([Q𝑠,Q𝑜,V𝑠𝑝𝑎]))."
But in the source code, I don't see this concatenating, I just see that you used sub heatmap for prediction. Could you explain it to me. Thank you very much
The text was updated successfully, but these errors were encountered: