A comprehensive list [SAMRS@NeurIPS'23, RVSA@TGRS'22, RSP@TGRS'22] of our research works related to remote sensing, including papers, codes, and citations. Note: The repo for [TGRS'22] "An Empirical Study of Remote Sensing Pretraining" has been moved to: https://github.com/ViTAE-Transformer/RSP
The original split of MillionAID is used for recognition. Our study is about pretraining, so we resplit the training and testing sets. The obtained training set is relatively large for transferring the pretrained weights to downstream tasks. All RSP pretrained weights are available at https://github.com/ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing/blob/main/README.md
Thank you very much. Your work is very inspiring to us. We are working to do some research in the field of remote sensing image pre-training and would like to use your work as a baseline. However, we found that the open source MillionAID data has less annotated data than in your paper, so we propose this issue.
Hello,
I wasn't able to understand what the conclusion is.
we resplit the training and testing sets.
I think the annotated data is needed to use all images and split the images again. Is the labeled data provided for test data? I mean, in my understanding, we need both "train_label.txt" and "valid_label.txt" to use million-AID, but I don't know where I can download them. I appreciate your help.
Originally posted by @pUmpKin-Co in https://github.com/ViTAE-Transformer/ViTAE-Transformer-Remote-Sensing/issues/3#issuecomment-1123531593
Hello, I wasn't able to understand what the conclusion is.
I think the annotated data is needed to use all images and split the images again. Is the labeled data provided for test data? I mean, in my understanding, we need both "train_label.txt" and "valid_label.txt" to use million-AID, but I don't know where I can download them. I appreciate your help.