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

العربية

Image Classification On Resisc45

المقاييس

Top 1 Accuracy

النتائج

نتائج أداء النماذج المختلفة على هذا المعيار القياسي

اسم النموذج	Top 1 Accuracy	Paper Title	Repository
LWGANet L1	95.70	LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks
ResNet50 (ImageNet-supervised)	88.56	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
BYOL (ResNet200-w2)	92.53	-	-
DecoupleNet D2	95.87	DecoupleNet: A Lightweight Backbone Network With Efficient Feature Decoupling for Remote Sensing Visual Tasks
LSENet	93.49	Local semantic enhanced convnet for aerial scene recognition
MIDC-Net	87.99	A multiple-instance densely-connected ConvNet for aerial scene classification
LWGANet L0	95.49	LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks
DeiT-B/16	92.48	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
SimCLR-v2 (ResNet152-w3 + SK)	89.77	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
SAG-ViT	-	SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers	-
MoCo-v3 (ViT-B/16)	93.35	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
SwAV (ResNet50-w5)	94.73	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
ResNet50	96.83	In-domain representation learning for remote sensing	-
MoCo-v2 (ResNet50)	85.4	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
SEER (RegNet10B)	95.61	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
CLIP (ViT-B/16)	92.7	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
DINO (DeiT-B/16)	93.97	Vision Models Are More Robust And Fair When Pretrained On Uncurated Images Without Supervision
AGOS	94.91	All Grains, One Scheme (AGOS): Learning Multi-grain Instance Representation for Aerial Scene Classification
LWGANet L2	96.17	LWGANet: A Lightweight Group Attention Backbone for Remote Sensing Visual Tasks

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