HyperAI초신경
홈뉴스최신 연구 논문튜토리얼데이터셋백과사전SOTALLM 모델GPU 랭킹컨퍼런스
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HyperAI초신경

Multi Label Image Classification On

평가 지표

mAP (micro)
official split

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이 벤치마크에서 각 모델의 성능 결과

모델 이름
mAP (micro)
official split
Paper TitleRepository
MoCo-v2 (ResNet18, fine tune)89.3NoSelf-supervised Learning in Remote Sensing: A Review
ResNet50--In-domain representation learning for remote sensing-
DINO-MC88.75NoExtending global-local view alignment for self-supervised learning with remote sensing imagery
ResNet50-YesBenchmarking and scaling of deep learning models for land cover image classification
MoCo-v3 (ViT-S/16, fine tune)89.9NoSSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
MAE (ViT-S/16, fine tune)88.9NoSSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
ViTM/20-YesBenchmarking and scaling of deep learning models for land cover image classification
WideResNet-B5-ECA-YesBenchmarking and scaling of deep learning models for land cover image classification
MoCo-v2 (ResNet50, fine tune)91.8NoSSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation
MLPMixer-YesBenchmarking and scaling of deep learning models for land cover image classification
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