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 our RSICD-CLIP models as image encoders and measure the classification accuracy (per class, micro, macro) via standard metrics (precision, recall, f1-score).
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 our RSICD-CLIP models as image encoders and measure the classification accuracy (per class, micro, macro) via standard metrics (precision, recall, f1-score).