CLIP-rsicd
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arampacha
Thanks for your excellent work! This pretraining work is done on three RSICD and how can the code directly be used to generate captions on these RSICD? Could you please...
Hi, I noticed that evaluation loss metric was too high compared to training loss in training notebook. Can you please share training logs for you best model(s) ?
We want to measure the model's ability to generalize beyond the 30 classes it was trained with. Idea is to take an aerial image of a subject that is not...
This was prompted by the query "avocado armchair" against the project demo during the HF community evaluation. The top result returned was this one: So obviously, the demo returned the...
Construct a 30-way classification task using the RSICD test dataset. Labels of the dataset are provided by the class names in image file names. Use the baseline CLIP model, and...
1."Could you please tell me where the weights of the fine-tuned model are saved? I couldn't find this location. Even in the output of the out-dir, it's very confusing. I...
Thank you for sharing your work. May I ask why the loss of the validation dataset has been rising? this doesn't look normal. 
Thank you for sharing this great project. I would lie to know what is the required pytorch and cuda version?
Hi @arampacha I would like to thank you for such an amazing repo that we can get benefit from.. I am just wondering if you can provide fine-tuning scipt/notebook of...
Isn't the evaluation criteria a bit simplistic. the RSICD dataset itself has complex text, and you have simplified it to class names plus a generic word.
