MAE (ViT-S/16, fine tune)

Reported on 2 benchmarks across 2 tasks · 1 paper

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

Computer Vision2 results

Multi-Label Image ClassificationonBigEarthNet
mAP (micro)· uses extra data· 2022-11-13
88.9
best: 91.8 (MoCo-v2 (ResNet50, fine tune))
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation arXiv:2211.07044
Image ClassificationonBigEarthNet
mAP (micro)· uses extra data· 2022-11-13
88.9
best: 91.8 (MoCo-v2 (ResNet50, fine tune))
SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation arXiv:2211.07044