Hi @pinakinathc ,
Thanks for the implementation of the excellent work. I have a few questions about your code implementations. It would be really kind of you if you could answer them:
(1) As is mentioned in the paper, you said that you fine-tune LNFMM (the image captioning model) upon FS-COCO dataset. But the code image-captioning/datasets.py in class OursScene() does not return capslen item. I look up the whole codebase and find that it is required by the decoder part of LNFMM. Does it mean that you only fine-tune the encoder part of LNFMM model?
(2) I checked the GitHub repository of LNFMM and downloaded their pre-trained model weights. I plan to load the weights with your code but it ran into an error RuntimeError: unexpected EOF, expected 170260432 more bytes. The file might be corrupted. Do you re-train the image captioning model? Do you meet any kind of problem like this during your experiments?
Regards,
Chang
Hi @pinakinathc ,
Thanks for the implementation of the excellent work. I have a few questions about your code implementations. It would be really kind of you if you could answer them:
(1) As is mentioned in the paper, you said that you fine-tune LNFMM (the image captioning model) upon FS-COCO dataset. But the code
image-captioning/datasets.pyin classOursScene()does not returncapslenitem. I look up the whole codebase and find that it is required by the decoder part of LNFMM. Does it mean that you only fine-tune the encoder part of LNFMM model?(2) I checked the GitHub repository of LNFMM and downloaded their pre-trained model weights. I plan to load the weights with your code but it ran into an error
RuntimeError: unexpected EOF, expected 170260432 more bytes. The file might be corrupted.Do you re-train the image captioning model? Do you meet any kind of problem like this during your experiments?Regards,
Chang