Rice

Benchmarks

Task Name	Dataset Name	SOTA Result
Remote Sensing Image Dehazing (RSI Dehazing)	RICE1	PSNR35.92	30
Genomic Prediction	Rice dataset	Rank1	27
Clustering	Rice	ARI46.5	20
Organ-level semantic segmentation	Rice	Green Veg IoU87.11	18
Classification	Rice	AUC0.977	18
Execution time measurement	Rice 50% MNAR	Training Time (s)0.171	15
Node Classification	Rice31	Accuracy87.55	14
Image Dehazing	RICE	LPIPS0.072	10
Classification	Rice	Accuracy92.78	8
Clustering	Rice (UCI)	ARI0.6881	8
Plant-level segmentation	Rice	Crop mIoU86.8	8
Clustering	Rice	ARI0.6981	7
Nonstationary backward transfer	Rice	BWT ARI-0.535	7
Incremental Clustering	Rice	Avg Inc ARI73.2	7
Declouding	RICE 2	PSNR36.35	7
Transductive Node Classification	Rice31	Accuracy87.89	7
Classification	rice UCI (test)	Accuracy91.9	6
PU Classification	Rice semi-synthetic	AUC97.8	5
Manifold Learning	Rice Cammeo and Osmancik	(TW + CN)/299.11	5
Binary Classification	Rice (test)	Macro F1-Score92.7	5
Subspecies Generalization	Rice glaberrima subspecies Far-OOD	Accuracy59.9	3
Subspecies Generalization	Rice barthii subspecies Far-OOD	Accuracy60.8	3
Subspecies Generalization	Rice rufipogon subspecies Mid-OOD	Accuracy63.9	3
Subspecies Generalization	Rice aus subspecies Near-OOD	Accuracy55.6	3
Subspecies Generalization	Rice japonica subspecies In-Domain	Accuracy59	3

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