DINO-MM
Self-supervised vision transformers for joint SAR-optical representation learning, IGARSS 2022
Note: Codes may not run out-of-the-box, a cleaner version to be organized.
training and linear evaluation
run sbatch scripts/slurm/sar_optical/srun_xxx.sh
pre-trained model
DINO-MM with ViT-S/8, input 14 bands: checkpoint, training log
Further reads
"Self-supervised Learning in Remote Sensing: A Review". paper | Repository
"SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation". Paper | Repository
"DeCUR: decoupling common & unique representations for multimodal self-supervision". paper | Repository