RS-JEPA: Remote Sensing Joint-Embedding Predictive Architecture with Scan-Path Views for Cross-Sensor Image Retrieval
Paper • 2611.14496 • Published • 1
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Data files for RS-JEPA: Remote Sensing Joint-Embedding Predictive Architecture with Scan-Path Views for Cross-Sensor Image Retrieval (accepted at the CVE40 Workshop at WACV 2027; arXiv:2611.14496, code: https://github.com/Tanishq251/RSJEPA).
Layout (matches the --data-root folders expected by the code):
| Folder | Contents | Notes |
|---|---|---|
benv1_14k/ |
BEN-14K: Sentinel-1 (VV,VH) / Sentinel-2 (12 bands) patches (s1/, s2/, one _all.npy per patch), official split (ben14k_official_splits.parquet/csv), norm_stats.json, classes_19.json |
14,832 pairs, 19 labels; 11,310 pretrain (train+val) / 3,522 test. Subset of BigEarthNet-MM (bigearth.net, arXiv:2105.07921), CDLA-Permissive-1.0. |
cbrsir_vs/ |
CBRSIR-VS: sar/, optical/ images, split_70_30.csv, index.csv, norm_stats.json, make_70_30_split.py |
26,901 pairs, 10 classes; 70/30 stratified (seed 42). Original dataset: Sun et al., IEEE TGRS 2022; please follow the original authors' terms. |
dsrsid/ |
DSRSID: raw/DSRSID.mat (+ readme.txt), split_70_30.csv, index.csv, norm_stats.json, cache_dsrsid.py |
80,000 pairs, 8 classes; 70/30 stratified (seed 42). Original dataset: Li et al., IEEE TGRS 56(11), 2018; please follow the original authors' terms. Build the 120x120 caches with cache_dsrsid.py --mat dsrsid/raw/DSRSID.mat. |
Download: hf download Tanishq165/RSJEPA --repo-type dataset --local-dir data
If you use these data or the code, please cite our paper (accepted at the CVE40 Workshop at WACV 2027):
@article{rachamalla2026rsjepa,
title={RS-JEPA: Remote Sensing Joint-Embedding Predictive Architecture with Scan-Path Views for Cross-Sensor Image Retrieval},
author={Rachamalla, Tanishq and Kaushik, Srishti and Khan, Muhammad Attique and Camps-Valls, Gustau and Roy, Swalpa Kumar},
journal={arXiv preprint arXiv:2611.14496},
year={2026}
}
Paper: arXiv:2611.14496 · Code: github.com/Tanishq251/RSJEPA
Please also cite the original dataset papers: BigEarthNet-MM (Sumbul et al., arXiv:2105.07921), CBRSIR-VS (Sun et al., IEEE TGRS 2022) and DSRSID (Li et al., IEEE TGRS 56(11), 2018).