Remote Sensing Image Classification On

Accuracy (%)

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Accuracy (%)	Paper Title
ResNet-50	63.20	FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
DINO (ViT-B/16)	63.36	FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
ViT-B/16	63.31	FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning
MAE (ViT-B/16)	65.29	FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning

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