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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Multi Label Image Classification On | SOTA | HyperAI