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
⌀ |
|---|---|---|---|---|---|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
Replay-Attack
|
3D Synthesis (balancing sampling)
|
https://arxiv.org/abs/1901.00488v3
|
HTER
|
0.63
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
Replay-Attack
|
YCbCr+HSV-LBP
|
http://arxiv.org/abs/1511.06316v1
|
EER
|
0.40
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
Replay-Attack
|
YCbCr+HSV-LBP
|
http://arxiv.org/abs/1511.06316v1
|
HTER
|
2.90
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
Replay-Attack
|
Multi-Scale
|
https://arxiv.org/abs/1408.5601v2
|
EER
|
2.14
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
MSU-MFSD
|
Entry-V2
|
https://arxiv.org/abs/2206.06510v1
|
Equal Error Rate
|
0
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
MSU-MFSD
|
Entry-V2
|
https://arxiv.org/abs/2206.06510v1
|
HTER
|
0
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
MSU-MFSD
|
GFA-CNN
|
http://arxiv.org/abs/1901.05602v1
|
Equal Error Rate
|
7.5%
|
Depth Estimation > Depth And Camera Motion > Face Anti-Spoofing
|
MSU-MFSD
|
Color LBP
|
http://arxiv.org/abs/1511.06316v1
|
Equal Error Rate
|
10.8%
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
BEV
|
https://arxiv.org/abs/2112.08274v3
|
PCDR
|
68.27
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
BEV
|
https://arxiv.org/abs/2112.08274v3
|
PCDR-Baby
|
60.77
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
BEV
|
https://arxiv.org/abs/2112.08274v3
|
PCDR-Kid
|
67.09
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
BEV
|
https://arxiv.org/abs/2112.08274v3
|
PCDR-Teen
|
66.07
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
BEV
|
https://arxiv.org/abs/2112.08274v3
|
PCDR-Adult
|
69.71
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
BEV
|
https://arxiv.org/abs/2112.08274v3
|
mPCDK
|
0.884
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
ROMP
|
https://arxiv.org/abs/2008.12272v4
|
PCDR
|
54.84
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
ROMP
|
https://arxiv.org/abs/2008.12272v4
|
PCDR-Baby
|
30.08
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
ROMP
|
https://arxiv.org/abs/2008.12272v4
|
PCDR-Kid
|
48.41
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
ROMP
|
https://arxiv.org/abs/2008.12272v4
|
PCDR-Teen
|
51.12
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
ROMP
|
https://arxiv.org/abs/2008.12272v4
|
PCDR-Adult
|
55.34
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
ROMP
|
https://arxiv.org/abs/2008.12272v4
|
mPCDK
|
0.866
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
CRMH
|
https://arxiv.org/abs/2006.08586v1
|
PCDR
|
54.83
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
CRMH
|
https://arxiv.org/abs/2006.08586v1
|
PCDR-Baby
|
34.74
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
CRMH
|
https://arxiv.org/abs/2006.08586v1
|
PCDR-Kid
|
48.37
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
CRMH
|
https://arxiv.org/abs/2006.08586v1
|
PCDR-Teen
|
59.11
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
CRMH
|
https://arxiv.org/abs/2006.08586v1
|
PCDR-Adult
|
55.47
|
Depth Estimation > 3D Depth Estimation
|
Relative Human
|
CRMH
|
https://arxiv.org/abs/2006.08586v1
|
mPCDK
|
0.781
|
Depth Estimation > 3D Depth Estimation > Transparent Object Depth Estimation
|
TransCG
|
DFNet
|
https://arxiv.org/abs/2202.08471v2
|
RMSE
|
0.018
|
Depth Estimation > 3D Depth Estimation > Transparent Object Depth Estimation
|
TransCG
|
DFNet
|
https://arxiv.org/abs/2202.08471v2
|
REL
|
0.027
|
Depth Estimation > 3D Depth Estimation > Transparent Object Depth Estimation
|
TransCG
|
DFNet
|
https://arxiv.org/abs/2202.08471v2
|
MAE
|
0.012
|
Depth Estimation > 3D Depth Estimation > Transparent Object Depth Estimation
|
TransCG
|
DFNet
|
https://arxiv.org/abs/2202.08471v2
|
delta < 1.05
|
83.76
|
Depth Estimation > 3D Depth Estimation > Transparent Object Depth Estimation
|
TransCG
|
DFNet
|
https://arxiv.org/abs/2202.08471v2
|
delta < 1.10
|
95.67
|
Depth Estimation > 3D Depth Estimation > Transparent Object Depth Estimation
|
TransCG
|
DFNet
|
https://arxiv.org/abs/2202.08471v2
|
Delta < 1.25
|
99.71
|
Depth Estimation > Stereo-LiDAR Fusion
|
KITTI Depth Completion Validation
|
Volumetric Propagation Network
|
https://arxiv.org/abs/2103.12964v1
|
RMSE
|
636.2
|
Depth Estimation > Stereo-LiDAR Fusion
|
KITTI Depth Completion Validation
|
CSPN++
|
https://arxiv.org/abs/1911.05377v2
|
RMSE
|
725.43
|
Depth Estimation > Stereo-LiDAR Fusion
|
KITTI Depth Completion Validation
|
CCVN
|
http://arxiv.org/abs/1904.02917v1
|
RMSE
|
749.3
|
Depth Estimation > Stereo-LiDAR Fusion
|
KITTI Depth Completion Validation
|
LiStereo
|
https://arxiv.org/abs/1905.02744v3
|
RMSE
|
749.3
|
Depth Estimation > Stereo-LiDAR Fusion
|
KITTI Depth Completion Validation
|
NLSPN
|
https://arxiv.org/abs/2007.10042v1
|
RMSE
|
771.8
|
Depth Estimation > Stereo-LiDAR Fusion
|
KITTI Depth Completion Validation
|
GuideNet
|
https://arxiv.org/abs/1908.01238v1
|
RMSE
|
777.78
|
Depth Estimation > Stereo-LiDAR Fusion
|
KITTI Depth Completion Validation
|
PSMNet
|
http://arxiv.org/abs/1803.08669v1
|
RMSE
|
884
|
Depth Estimation > Stereo-LiDAR Fusion
|
KITTI Depth Completion Validation
|
SCADC
|
https://arxiv.org/abs/2003.06945v4
|
RMSE
|
1009.6
|
Depth Estimation > Stereo-LiDAR Fusion
|
KITTI Depth Completion Validation
|
GCNet
|
http://arxiv.org/abs/1703.04309v1
|
RMSE
|
1031.4
|
Depth Estimation > Indoor Monocular Depth Estimation
|
DIODE
|
LeReS
|
https://arxiv.org/abs/2012.09365v1
|
Delta < 1.25^3
|
0.900
|
Depth Estimation > Indoor Monocular Depth Estimation
|
DIODE
|
AIP-Brown
|
https://arxiv.org/abs/2007.06153v1
|
Delta < 1.25^3
|
0.7945
|
Depth Estimation > Depth Aleatoric Uncertainty Estimation
|
Mid-Air Dataset
|
M4Depth+U
|
https://arxiv.org/abs/2305.19780v1
|
AuSE on Abs Rel
|
0.007
|
Depth Estimation > Depth Aleatoric Uncertainty Estimation
|
Mid-Air Dataset
|
M4Depth+U
|
https://arxiv.org/abs/2305.19780v1
|
AuSE on RMSE log
|
0.02
|
Diabetes Prediction
|
Diabetes
|
XBNET
|
https://arxiv.org/abs/2106.05239v3
|
Accuracy
|
78.78
|
Medical Code Prediction
|
MIMIC-III
|
GKI-ICD
|
https://arxiv.org/abs/2505.18708v1
|
Macro-AUC
|
96.2
|
Medical Code Prediction
|
MIMIC-III
|
GKI-ICD
|
https://arxiv.org/abs/2505.18708v1
|
Micro-AUC
|
99.3
|
Medical Code Prediction
|
MIMIC-III
|
GKI-ICD
|
https://arxiv.org/abs/2505.18708v1
|
Macro-F1
|
12.3
|
Medical Code Prediction
|
MIMIC-III
|
GKI-ICD
|
https://arxiv.org/abs/2505.18708v1
|
Micro-F1
|
61.2
|
Medical Code Prediction
|
MIMIC-III
|
GKI-ICD
|
https://arxiv.org/abs/2505.18708v1
|
Precision@8
|
77.7
|
Medical Code Prediction
|
MIMIC-III
|
GKI-ICD
|
https://arxiv.org/abs/2505.18708v1
|
Precision@15
|
62.4
|
Medical Code Prediction
|
MIMIC-III
|
GKI-ICD
|
https://arxiv.org/abs/2505.18708v1
|
mAP
|
66.1
|
Medical Code Prediction
|
MIMIC-III
|
PLM-CA
|
https://arxiv.org/abs/2406.08958v2
|
Macro-F1
|
24.7
|
Medical Code Prediction
|
MIMIC-III
|
PLM-CA
|
https://arxiv.org/abs/2406.08958v2
|
Micro-F1
|
60.0
|
Medical Code Prediction
|
MIMIC-III
|
PLM-CA
|
https://arxiv.org/abs/2406.08958v2
|
mAP
|
64.7
|
Medical Code Prediction
|
MIMIC-III
|
MSMN+KEPTLongformer
|
https://arxiv.org/abs/2210.03304v2
|
Macro-F1
|
11.8
|
Medical Code Prediction
|
MIMIC-III
|
MSMN+KEPTLongformer
|
https://arxiv.org/abs/2210.03304v2
|
Micro-F1
|
59.9
|
Medical Code Prediction
|
MIMIC-III
|
MSMN+KEPTLongformer
|
https://arxiv.org/abs/2210.03304v2
|
Precision@8
|
77.1
|
Medical Code Prediction
|
MIMIC-III
|
MSMN+KEPTLongformer
|
https://arxiv.org/abs/2210.03304v2
|
Precision@15
|
61.5
|
Medical Code Prediction
|
MIMIC-III
|
EffectiveCAN
|
https://aclanthology.org/2021.emnlp-main.481
|
Macro-AUC
|
91.5
|
Medical Code Prediction
|
MIMIC-III
|
EffectiveCAN
|
https://aclanthology.org/2021.emnlp-main.481
|
Micro-AUC
|
98.8
|
Medical Code Prediction
|
MIMIC-III
|
EffectiveCAN
|
https://aclanthology.org/2021.emnlp-main.481
|
Macro-F1
|
10.6
|
Medical Code Prediction
|
MIMIC-III
|
EffectiveCAN
|
https://aclanthology.org/2021.emnlp-main.481
|
Micro-F1
|
58.9
|
Medical Code Prediction
|
MIMIC-III
|
EffectiveCAN
|
https://aclanthology.org/2021.emnlp-main.481
|
Precision@8
|
75.8
|
Medical Code Prediction
|
MIMIC-III
|
EffectiveCAN
|
https://aclanthology.org/2021.emnlp-main.481
|
Precision@15
|
60.6
|
Medical Code Prediction
|
MIMIC-III
|
Discnet+RE
|
https://aclanthology.org/2022.coling-1.254
|
Macro-AUC
|
95.6
|
Medical Code Prediction
|
MIMIC-III
|
Discnet+RE
|
https://aclanthology.org/2022.coling-1.254
|
Micro-AUC
|
99.3
|
Medical Code Prediction
|
MIMIC-III
|
Discnet+RE
|
https://aclanthology.org/2022.coling-1.254
|
Macro-F1
|
14.0
|
Medical Code Prediction
|
MIMIC-III
|
Discnet+RE
|
https://aclanthology.org/2022.coling-1.254
|
Micro-F1
|
58.8
|
Medical Code Prediction
|
MIMIC-III
|
Discnet+RE
|
https://aclanthology.org/2022.coling-1.254
|
Precision@8
|
76.5
|
Medical Code Prediction
|
MIMIC-III
|
Discnet+RE
|
https://aclanthology.org/2022.coling-1.254
|
Precision@15
|
61.4
|
Medical Code Prediction
|
MIMIC-III
|
RAC
|
https://arxiv.org/abs/2107.10650v1
|
Macro-AUC
|
94.8
|
Medical Code Prediction
|
MIMIC-III
|
RAC
|
https://arxiv.org/abs/2107.10650v1
|
Micro-AUC
|
99.2
|
Medical Code Prediction
|
MIMIC-III
|
RAC
|
https://arxiv.org/abs/2107.10650v1
|
Macro-F1
|
12.7
|
Medical Code Prediction
|
MIMIC-III
|
RAC
|
https://arxiv.org/abs/2107.10650v1
|
Micro-F1
|
58.6
|
Medical Code Prediction
|
MIMIC-III
|
RAC
|
https://arxiv.org/abs/2107.10650v1
|
Precision@5
|
82.9
|
Medical Code Prediction
|
MIMIC-III
|
RAC
|
https://arxiv.org/abs/2107.10650v1
|
Precision@8
|
75.4
|
Medical Code Prediction
|
MIMIC-III
|
RAC
|
https://arxiv.org/abs/2107.10650v1
|
Precision@15
|
60.1
|
Medical Code Prediction
|
MIMIC-III
|
MSMN
|
https://arxiv.org/abs/2203.01515v2
|
Macro-AUC
|
95.0
|
Medical Code Prediction
|
MIMIC-III
|
MSMN
|
https://arxiv.org/abs/2203.01515v2
|
Micro-AUC
|
99.2
|
Medical Code Prediction
|
MIMIC-III
|
MSMN
|
https://arxiv.org/abs/2203.01515v2
|
Macro-F1
|
10.3
|
Medical Code Prediction
|
MIMIC-III
|
MSMN
|
https://arxiv.org/abs/2203.01515v2
|
Micro-F1
|
58.4
|
Medical Code Prediction
|
MIMIC-III
|
MSMN
|
https://arxiv.org/abs/2203.01515v2
|
Precision@8
|
75.2
|
Medical Code Prediction
|
MIMIC-III
|
MSMN
|
https://arxiv.org/abs/2203.01515v2
|
Precision@15
|
59.9
|
Medical Code Prediction
|
MIMIC-III
|
JointLAAT
|
https://arxiv.org/abs/2007.06351v1
|
Macro-AUC
|
92.1
|
Medical Code Prediction
|
MIMIC-III
|
JointLAAT
|
https://arxiv.org/abs/2007.06351v1
|
Micro-AUC
|
98.8
|
Medical Code Prediction
|
MIMIC-III
|
JointLAAT
|
https://arxiv.org/abs/2007.06351v1
|
Macro-F1
|
10.7
|
Medical Code Prediction
|
MIMIC-III
|
JointLAAT
|
https://arxiv.org/abs/2007.06351v1
|
Micro-F1
|
57.5
|
Medical Code Prediction
|
MIMIC-III
|
JointLAAT
|
https://arxiv.org/abs/2007.06351v1
|
Precision@5
|
80.6
|
Medical Code Prediction
|
MIMIC-III
|
JointLAAT
|
https://arxiv.org/abs/2007.06351v1
|
Precision@8
|
73.5
|
Medical Code Prediction
|
MIMIC-III
|
JointLAAT
|
https://arxiv.org/abs/2007.06351v1
|
Precision@15
|
59.0
|
Medical Code Prediction
|
MIMIC-III
|
LAAT
|
https://arxiv.org/abs/2007.06351v1
|
Macro-AUC
|
91.9
|
Medical Code Prediction
|
MIMIC-III
|
LAAT
|
https://arxiv.org/abs/2007.06351v1
|
Micro-AUC
|
98.8
|
Medical Code Prediction
|
MIMIC-III
|
LAAT
|
https://arxiv.org/abs/2007.06351v1
|
Macro-F1
|
9.9
|
Medical Code Prediction
|
MIMIC-III
|
LAAT
|
https://arxiv.org/abs/2007.06351v1
|
Micro-F1
|
57.5
|
Medical Code Prediction
|
MIMIC-III
|
LAAT
|
https://arxiv.org/abs/2007.06351v1
|
Precision@5
|
81.3
|
Medical Code Prediction
|
MIMIC-III
|
LAAT
|
https://arxiv.org/abs/2007.06351v1
|
Precision@8
|
73.8
|
Medical Code Prediction
|
MIMIC-III
|
LAAT
|
https://arxiv.org/abs/2007.06351v1
|
Precision@15
|
59.1
|
Medical Code Prediction
|
MIMIC-III
|
MSATT-KG
| null |
Macro-AUC
|
91.0
|
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.