felixleungsc/paperswithcode-data-evaluation-tables

task_path stringlengths 3 199 ⌀	dataset stringlengths 1 128 ⌀	model_name stringlengths 1 223 ⌀	paper_url stringlengths 21 601 ⌀	metric_name stringlengths 1 50 ⌀	metric_value stringlengths 1 9.22k ⌀
Blind Image Deblurring > Deblurring	RSBlur	MIMO-UNet+	https://arxiv.org/abs/2108.05054v2	Average PSNR	33.37
Blind Image Deblurring > Deblurring	RSBlur	MIMO-UNet	https://arxiv.org/abs/2108.05054v2	Average PSNR	32.73
Blind Image Deblurring > Deblurring	RSBlur	SRN-Deblur	http://arxiv.org/abs/1802.01770v1	Average PSNR	32.53
Blind Image Deblurring > Deblurring	RSBlur (trained on synthetic)	MIMO-UNet + Realistic blur	https://arxiv.org/abs/2202.08771v3	Average PSNR	32.08
Blind Image Deblurring > Deblurring	RSBlur (trained on synthetic)	SRN-Deblur + Realistic blur	https://arxiv.org/abs/2202.08771v3	Average PSNR	32.06
How To Refund A Wrong Transaction In Phonepe > Community Question Answering	Quora Question Pairs	MFAE	https://epubs.siam.org/doi/10.1137/1.9781611976236.26	Accuracy	90.54
How To Refund A Wrong Transaction In Phonepe > Community Question Answering	CrowdSource QA	BERT	https://arxiv.org/abs/2002.10107v4	MSE	0.046
How To Refund A Wrong Transaction In Phonepe > How to refund a wrong transaction in PhonePe	How to refund a wrong transaction in PhonePe	PhonePe	https://arxiv.org/abs/2311.11944v1	PhonePe wrong transaction refund money	25
Red Teaming	SUDO Dataset	SUDO	https://arxiv.org/abs/2503.20279v3	Attack Success Rate	41%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	RPNet-RF	https://doi.org/10.3390/s23052499	OA@15perclass	95.60
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	TC-GAN	https://doi.org/10.3390/rs14143426	OA@15perclass	93.20±0.59
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	HyLITE	https://arxiv.org/abs/2309.01561v1	OA@15perclass	91.28
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	DCFSL	https://doi.org/10.1109/TNNLS.2022.3185795	OA@15perclass	90.71±0.56
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	IFRF	https://doi.org/10.1109/TGRS.2013.2275613	OA@15perclass	88.38
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	S-DMM	https://doi.org/10.1109/TGRS.2019.2946318	OA@15perclass	88.30±1.03
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	RPNet	https://doi.org/10.1016/j.isprsjprs.2018.05.014	OA@15perclass	84.92
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	3D VS-CNN	http://doi.org/10.1088/1742-6596/1549/5/052011	OA@15perclass	81.63±1.81
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	2D-CNN	https://doi.org/10.1109/IGARSS.2015.7326945	OA@15perclass	77.53±1.50
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	CA-GAN	https://doi.org/10.3390/rs12071149	OA@15perclass	76.81±0.91
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	HSI-BERT	https://doi.org/10.1109/TGRS.2019.2934760	OA@15perclass	75.31±1.59
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	3D-CNN	https://doi.org/10.3390/rs9010067	OA@15perclass	75.24±0.84
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	JigsawHSI	https://arxiv.org/abs/2206.02327v3	Overall Accuracy	100.00
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	STNet	https://arxiv.org/abs/2506.08324v1	Overall Accuracy	100
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	WCNet	https://arxiv.org/abs/2504.10795v1	Overall Accuracy	100
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	SpectralNET	https://arxiv.org/abs/2104.00341v1	Overall Accuracy	99.99%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	Deep Matrix Capsules	https://ieeexplore.ieee.org/document/10028853	Overall Accuracy	99.99%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	KANet	https://arxiv.org/abs/2504.15155v1	Overall Accuracy	99.99
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	SGDSCNet	https://arxiv.org/abs/2504.04463v1	Overall Accuracy	99.99
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	MVNet	https://arxiv.org/abs/2507.04409v1	Overall Accuracy	99.98
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	EKGNet	https://arxiv.org/abs/2504.13045v1	Overall Accuracy	99.98
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	SSDGL	https://arxiv.org/abs/2105.14327v1	Overall Accuracy	99.97%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	SSDGL	https://arxiv.org/abs/2105.14327v1	Kappa@1%	0.9996
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	FSKNet	https://arxiv.org/abs/2202.06458v1	Overall Accuracy	99.96%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	A2S2K-ResNet	https://ieeexplore.ieee.org/document/9306920	Overall Accuracy	99.85
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	FPGA	https://arxiv.org/abs/2011.05670v1	Overall Accuracy	99.81%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	FPGA	https://arxiv.org/abs/2011.05670v1	OA@200	99.81
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	FPGA	https://arxiv.org/abs/2011.05670v1	AA@200	99.83
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	FPGA	https://arxiv.org/abs/2011.05670v1	Kappa@200	0.9974
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	CVSSN	http://dx.doi.org/10.1109/tcsvt.2022.3218284	Overall Accuracy	99.68±0.06%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	CVSSN	http://dx.doi.org/10.1109/tcsvt.2022.3218284	OA@5%perclass	99.68±0.06%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	CVSSN	http://dx.doi.org/10.1109/tcsvt.2022.3218284	AA@5%perclass	99.52±0.17%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	CVSSN	http://dx.doi.org/10.1109/tcsvt.2022.3218284	Kappa@5%perclass	0.9957±0.0009
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	A-SPN	https://ieeexplore.ieee.org/document/9325094	Overall Accuracy	99.65%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	WCRN	https://ieeexplore.ieee.org/document/8517855	Overall Accuracy	99.43%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	St-SS-pGRU	http://arxiv.org/abs/1810.12563v1	Overall Accuracy	98.44%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	AMS-M2ESL	https://ieeexplore.ieee.org/abstract/document/10097620	Overall Accuracy	98.09±0.30%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	AMS-M2ESL	https://ieeexplore.ieee.org/abstract/document/10097620	OA@1%perclass	98.09±0.30%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	AMS-M2ESL	https://ieeexplore.ieee.org/abstract/document/10097620	AA@1%perclass	97.86±0.47%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	AMS-M2ESL	https://ieeexplore.ieee.org/abstract/document/10097620	Kappa@1%perclass	0.9747±0.0039
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	BASSNet	http://arxiv.org/abs/1612.00144v2	Overall Accuracy	97.48%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	DeepHyperX 3D CNN	http://arxiv.org/abs/1904.10674v1	Overall Accuracy	96.71
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Pavia University	CNN-MRF	http://arxiv.org/abs/1705.00727v2	Overall Accuracy	96.18
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Botswana	FSKNet	https://arxiv.org/abs/2202.06458v1	Overall Accuracy	1
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	RPNet-RF	https://doi.org/10.3390/s23052499	OA@15perclass	98.51
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	TC-GAN	https://doi.org/10.3390/rs14143426	OA@15perclass	98.39±0.63
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	DCFSL	https://doi.org/10.1109/TNNLS.2022.3185795	OA@15perclass	97.59±1.03
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	S-DMM	https://doi.org/10.1109/TGRS.2019.2946318	OA@15perclass	95.83±1.68
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	RPNet	https://doi.org/10.1016/j.isprsjprs.2018.05.014	OA@15perclass	95.83
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	IFRF	https://doi.org/10.1109/TGRS.2013.2275613	OA@15perclass	95.07
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	CA-GAN	https://doi.org/10.3390/rs12071149	OA@15perclass	91.17±1.54
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	3D-CNN	https://doi.org/10.3390/rs9010067	OA@15perclass	87.18±1.00
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	HSI-BERT	https://doi.org/10.1109/TGRS.2019.2934760	OA@15perclass	82.93±0.94
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	2D-CNN	https://doi.org/10.1109/IGARSS.2015.7326945	OA@15perclass	80.53±1.31
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	3D VS-CNN	http://doi.org/10.1088/1742-6596/1549/5/052011	OA@15perclass	80.15±0.62
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	SSBC	https://doi.org/10.3390/rs16224270	OA@10%perclass	98.75%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	SSBC	https://doi.org/10.3390/rs16224270	AA@10%perclass	98.06%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	SSBC	https://doi.org/10.3390/rs16224270	Kappa@10%perclass	98.61%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	SSBC	https://doi.org/10.3390/rs16224270	F1@10%perclass	98.11%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	CVSSN	http://dx.doi.org/10.1109/tcsvt.2022.3218284	Overall Accuracy	98.90±0.30%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	CVSSN	http://dx.doi.org/10.1109/tcsvt.2022.3218284	OA@10%perclass	98.90±0.30%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	CVSSN	http://dx.doi.org/10.1109/tcsvt.2022.3218284	AA@10%perclass	98.29±0.45%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	CVSSN	http://dx.doi.org/10.1109/tcsvt.2022.3218284	Kappa@10%perclass	0.9878±0.0033
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Kennedy Space Center	A2S2K-ResNet	https://ieeexplore.ieee.org/document/9306920	Overall Accuracy	99.34
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Houston	A-SPN	https://ieeexplore.ieee.org/document/9325094	Overall Accuracy	97.27%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Houston	AMS-M2ESL	https://ieeexplore.ieee.org/abstract/document/10097620	Overall Accuracy	88.82±0.93%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Houston	AMS-M2ESL	https://ieeexplore.ieee.org/abstract/document/10097620	OA@disjoint	88.82±0.93%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Houston	AMS-M2ESL	https://ieeexplore.ieee.org/abstract/document/10097620	AA@disjoint	92.15±0.30%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Houston	AMS-M2ESL	https://ieeexplore.ieee.org/abstract/document/10097620	Kappa@disjoint	0.8785±0.0101
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Houston	SSBC	https://doi.org/10.3390/rs16224270	OA@10%perclass	98.53%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Houston	SSBC	https://doi.org/10.3390/rs16224270	AA@10%perclass	98.42%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Houston	SSBC	https://doi.org/10.3390/rs16224270	F1@10%perclass	98.54%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Houston	SSBC	https://doi.org/10.3390/rs16224270	Kappa@10%perclass	98.41%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Houston	HyLITE	https://arxiv.org/abs/2309.01561v1	OA@15perclass	88.49
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	HyperspectralMAE	https://arxiv.org/abs/2505.05710v1	OA@15perclass	92.37
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	RPNet-RF	https://doi.org/10.3390/s23052499	OA@15perclass	90.23
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	HyLITE	https://arxiv.org/abs/2309.01561v1	Overall Accuracy	89.80
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	HyLITE	https://arxiv.org/abs/2309.01561v1	OA@15perclass	89.80
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	TC-GAN	https://doi.org/10.3390/rs14143426	OA@15perclass	87.47±1.45
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	3D VS-CNN	http://doi.org/10.1088/1742-6596/1549/5/052011	OA@15perclass	83.06±1.04
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	RPNet	https://doi.org/10.1016/j.isprsjprs.2018.05.014	OA@15perclass	77.97
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	DCFSL	https://doi.org/10.1109/TNNLS.2022.3185795	OA@15perclass	77.45±1.78
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	CA-GAN	https://doi.org/10.3390/rs12071149	OA@15perclass	75.52±1.28
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	IFRF	https://doi.org/10.1109/TGRS.2013.2275613	OA@15perclass	69.52
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	S-DMM	https://doi.org/10.1109/TGRS.2019.2946318	OA@15perclass	67.04±1.65
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	3D-CNN	https://doi.org/10.3390/rs9010067	OA@15perclass	58.94±1.27
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	HSI-BERT	https://doi.org/10.1109/TGRS.2019.2934760	OA@15perclass	58.50±1.56
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	2D-CNN	https://doi.org/10.1109/IGARSS.2015.7326945	OA@15perclass	57.72±1.90
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	KANet	https://arxiv.org/abs/2504.15155v1	Overall Accuracy	99.94
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	Deep Matrix Capsules	https://ieeexplore.ieee.org/document/10028853	Overall Accuracy	99.93%
Hyperspectral Image Segmentation > Hyperspectral > Hyperspectral Image Classification	Indian Pines	SGDSCNet	https://arxiv.org/abs/2504.04463v1	Overall Accuracy	99.90

Blind Image Deblurring > Deblurring

RSBlur

MIMO-UNet+

https://arxiv.org/abs/2108.05054v2

Average PSNR

33.37

Blind Image Deblurring > Deblurring

RSBlur

MIMO-UNet

https://arxiv.org/abs/2108.05054v2

Average PSNR

32.73

Blind Image Deblurring > Deblurring

RSBlur

SRN-Deblur

http://arxiv.org/abs/1802.01770v1

Average PSNR

32.53

Blind Image Deblurring > Deblurring

RSBlur (trained on synthetic)

MIMO-UNet + Realistic blur

https://arxiv.org/abs/2202.08771v3

Average PSNR

32.08

Blind Image Deblurring > Deblurring

RSBlur (trained on synthetic)

SRN-Deblur + Realistic blur

https://arxiv.org/abs/2202.08771v3

Average PSNR

32.06

How To Refund A Wrong Transaction In Phonepe > Community Question Answering

Quora Question Pairs

MFAE

https://epubs.siam.org/doi/10.1137/1.9781611976236.26

Accuracy

90.54

How To Refund A Wrong Transaction In Phonepe > Community Question Answering

CrowdSource QA

BERT

https://arxiv.org/abs/2002.10107v4

MSE

0.046

How To Refund A Wrong Transaction In Phonepe > How to refund a wrong transaction in PhonePe

How to refund a wrong transaction in PhonePe

PhonePe

https://arxiv.org/abs/2311.11944v1

PhonePe wrong transaction refund money

25

Red Teaming

SUDO Dataset

SUDO

https://arxiv.org/abs/2503.20279v3

Attack Success Rate

41%