AID

Benchmarks

Task Name	Dataset Name	SOTA Result
Image Classification	AID (test)	Overall Accuracy95.27	223
Multi-label scene classification	AID-ML (test)	mAP (macro)72.18	105
Scene Classification	AID TR=50%	Accuracy98.6	94
Scene Classification	AID TR=20%	Accuracy97.49	93
Scene Classification	AID	Top-1 Acc98.33	69
Image Classification	AID	Accuracy96.6	66
Few-Shot Classification	AID	Accuracy88.95	48
Classification	AID (test)	Top-1 Accuracy98.6	41
Super-Resolution	AID	FID6.59	24
Scene Classification	AID	Precision96.4	22
Multi-label Classification	AID Random SPML noise (test)	mAP89.01	19
Multi-label Classification	AID-Manual (test)	mAP89.01	19
Anomaly Detection	aid362	ROC-AUC71.69	14
Anomaly Detection	aid362	PR-AUC5.07	14
Scene Classification	AID 5-shot	Accuracy88.25	13
Scene Classification	AID 1-shot	Accuracy73.38	13
Classification	AID	OA97.76	11
Remote Sensing Scene Classification	AID	F1 Score83.8	10
Remote Sensing Scene Classification	AID	Accuracy96.17	10
Scene Classification	AID	OA74.7	7
Zero-shot Classification	AID	Top-1 Accuracy76.33	7
Super-Resolution	AID (test)	PSNR23.22	6
Dataset Distillation	AID	Training Time (h)13.36	5
Class-activation heatmap interpretability assessment	AID 8 sampled categories	Average Score2.625	5
Hierarchical Multi-label Classification	AID	AUPRC84.9	4

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