Dear Christos, Alexis and Simon, I hope you are all doing well. I have been studying the TIRAuxCloud paper and repository carefully, and I have already researched the uncertainty quantification/explainability direction in depth, especially single-pass uncertainty, Grad-CAM++, and DeepSHAP. I have also scanned part of the paper’s references to better understand the technical directions around the project. My proposal is already centered on uncertainty quantification/explainability as the core direction. For the second part, I am now trying to choose one realistic beyond-supervised direction from the future-work points discussed in the paper. Right now I see two concrete possibilities: 1. a direction closer to the current repository, by benchmarking and extending the existing cloudy/clear paired models already present in the codebase, such as Siamese and bam-cd 2. one focused self-supervised learning study, for example a SatMAE-style masked autoencoder pretraining approach, motivated by the paper’s future-work I also noticed the paper mentions other future directions such as foundation-model evaluation, lightweight in-orbit architectures, and while scanning the codebase I also came across DINOv2- and SAM-related components. Before fixing this part of my proposal, I wanted to ask whether there is any current preference among these beyond-supervised directions. In particular, would you prefer a secondary direction that is closer to the current codebase, such as the existing change-aware cloudy/clear models, or should I propose the direction I currently feel more confident I can execute well, namely a focused self-supervised study? If the foundation model direction is currently considered more relevant than these two, I would also appreciate knowing that. I ask this because I want the proposal to stay technically clear and realistic in scope. In principle, I think both of the two concrete directions above could be valuable, and if time allows I would be happy to include both in some form. At the same time, although I have tried to prepare for the project as thoroughly as possible, I have not yet worked this deeply in a project of this kind, so I am not fully confident in deciding the most realistic scope by myself. That is why I would really appreciate your guidance on whether one of these directions is currently preferred for the repository. Best regards, Nikitas
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