الرئيسية الأخبار أحدث الأوراق البحثية الدروس مجموعات البيانات الموسوعة SOTA نماذج LLM لوحة الأداء GPU الفعاليات

العربية

Multi Label Image Classification On

المقاييس

mAP (micro)

official split

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	mAP (micro)	official split	Paper Title	Repository
MoCo-v2 (ResNet18, fine tune)	89.3	No	Self-supervised Learning in Remote Sensing: A Review
ResNet50	-	-	In-domain representation learning for remote sensing	-
DINO-MC	88.75	No	Extending global-local view alignment for self-supervised learning with remote sensing imagery
ResNet50	-	Yes	Benchmarking and scaling of deep learning models for land cover image classification
MoCo-v3 (ViT-S/16, fine tune)	89.9	No	SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
MAE (ViT-S/16, fine tune)	88.9	No	SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
ViTM/20	-	Yes	Benchmarking and scaling of deep learning models for land cover image classification
WideResNet-B5-ECA	-	Yes	Benchmarking and scaling of deep learning models for land cover image classification
MoCo-v2 (ResNet50, fine tune)	91.8	No	SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
MLPMixer	-	Yes	Benchmarking and scaling of deep learning models for land cover image classification

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