DINO-MM

Note: Codes may not run out-of-the-box, a cleaner version to be organized.

run sbatch scripts/slurm/sar_optical/srun_xxx.sh

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

Name		Name	Last commit message	Last commit date
Latest commit History 9 Commits
checkpoints		checkpoints
datasets/BigEarthNet		datasets/BigEarthNet
models		models
scripts/slurm/sar_optical		scripts/slurm/sar_optical
LICENSE		LICENSE
README.md		README.md
linear_dino_B14.py		linear_dino_B14.py
linear_dino_B14_B12.py		linear_dino_B14_B12.py
linear_dino_B14_B2.py		linear_dino_B14_B2.py
linear_dino_B2.py		linear_dino_B2.py
main_dino_B14.py		main_dino_B14.py
main_dino_B2.py		main_dino_B2.py
rand_vit_s1.py		rand_vit_s1.py
rand_vit_s2.py		rand_vit_s2.py
sup_rn_B12.py		sup_rn_B12.py
sup_rn_B14.py		sup_rn_B14.py
sup_rn_B2.py		sup_rn_B2.py
visualize_attention.ipynb		visualize_attention.ipynb