MoCov3 (ViT-S/16)

Reported on 4 benchmarks across 2 tasks · 1 paper · 4 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision4 results

Multi-Label Image ClassificationonBigEarthNet (official test set)
F1 Score· uses extra data· 2022-11-13
80.5
best: 80.8 (FG-MAE (ViT-S/16))
SOTA
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation arXiv:2211.07044
Multi-Label Image ClassificationonBigEarthNet (official test set)
mAP (micro)· uses extra data· 2022-11-13
89.3
SOTA
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation arXiv:2211.07044
Image ClassificationonBigEarthNet (official test set)
F1 Score· uses extra data· 2022-11-13
80.5
best: 80.8 (FG-MAE (ViT-S/16))
SOTA
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation arXiv:2211.07044
Image ClassificationonBigEarthNet (official test set)
mAP (micro)· uses extra data· 2022-11-13
89.3
SOTA
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation arXiv:2211.07044