task_path
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⌀ | dataset
stringlengths 1
128
⌀ | model_name
stringlengths 1
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⌀ | paper_url
stringlengths 21
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⌀ | metric_name
stringlengths 1
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⌀ | metric_value
stringlengths 1
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⌀ |
|---|---|---|---|---|---|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUHK
|
Residual net + Pseudo Sketch Feature Loss + LSGAN
|
https://arxiv.org/abs/1812.04929v2
|
SSIM
|
63.28%
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUHK
|
Residual net + Pseudo Sketch Feature Loss + LSGAN
|
https://arxiv.org/abs/1812.04929v2
|
FSIM
|
74.23%
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUHK
|
PS2-MAN
|
http://arxiv.org/abs/1710.10182v2
|
SSIM
|
61.56%
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUHK
|
PS2-MAN
|
http://arxiv.org/abs/1710.10182v2
|
FSIM
|
73.61%
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
Multi-Modal CelebA-HQ
|
Diffusion
|
https://arxiv.org/abs/2212.00793v2
|
FID
|
26.09
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUFS
|
Residual net + Pseudo Sketch Feature Loss + LSGAN
|
https://arxiv.org/abs/1812.04929v2
|
FSIM
|
72.56%
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUFS
|
Residual net + Pseudo Sketch Feature Loss + LSGAN
|
https://arxiv.org/abs/1812.04929v2
|
SSIM
|
54.63%
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUFS
|
SCA-GAN
|
https://arxiv.org/abs/1712.00899v4
|
FSIM
|
71.6%
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUFS
|
SCA-GAN
|
https://arxiv.org/abs/1712.00899v4
|
FID
|
34.2
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUFS
|
SCA-GAN
|
https://arxiv.org/abs/1712.00899v4
|
NLDA
|
95.7
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUFS
|
CA-GAN
|
https://arxiv.org/abs/1712.00899v4
|
FSIM
|
71.2%
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUFS
|
CA-GAN
|
https://arxiv.org/abs/1712.00899v4
|
FID
|
39.7
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUFS
|
CA-GAN
|
https://arxiv.org/abs/1712.00899v4
|
NLDA
|
95.6
|
Facial Recognition and Modelling > Face Sketch Synthesis
|
CUFS
|
SCA-GAN4
|
https://arxiv.org/abs/1712.00899v4
|
FID
|
32.8
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A-LINK
|
http://iab-rubric.org/papers/2019_BTAS_ALINK.pdf
|
GAR @0.1% FAR Impersonation
|
75.38
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A-LINK
|
http://iab-rubric.org/papers/2019_BTAS_ALINK.pdf
|
GAR @0.1% FAR Obfuscation
|
72.13
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A-LINK
|
http://iab-rubric.org/papers/2019_BTAS_ALINK.pdf
|
GAR @0.1% FAR Overall
|
72.72
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A-LINK
|
http://iab-rubric.org/papers/2019_BTAS_ALINK.pdf
|
GAR @1% FAR Impersonation
|
95.73
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A-LINK
|
http://iab-rubric.org/papers/2019_BTAS_ALINK.pdf
|
GAR @1% FAR Obfuscation
|
88.97
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A-LINK
|
http://iab-rubric.org/papers/2019_BTAS_ALINK.pdf
|
GAR @1% FAR Overall
|
89.3
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.1% FAR Impersonation
|
69.27
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.1% FAR Obfuscation
|
93.08
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.1% FAR Overall
|
93.01
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @1% FAR Impersonation
|
99.01
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @1% FAR Obfuscation
|
95.93
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @1% FAR Overall
|
95.99
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
CMU-MPIE
|
A-LINK
|
http://iab-rubric.org/papers/2019_BTAS_ALINK.pdf
|
16x16 Accuracy
|
92.4
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
CMU-MPIE
|
A-LINK
|
http://iab-rubric.org/papers/2019_BTAS_ALINK.pdf
|
24x24 Accuracy
|
92.6
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
CMU-MPIE
|
A-LINK
|
http://iab-rubric.org/papers/2019_BTAS_ALINK.pdf
|
32x32 Accuracy
|
92.8
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
CMU-MPIE
|
A-LINK
|
http://iab-rubric.org/papers/2019_BTAS_ALINK.pdf
|
48x48 Accuracy
|
92.9
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.1% FAR Impersonation
|
79.2
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.1% FAR Obfuscation
|
99.00
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.1% FAR Plastic Surgery
|
98.80
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.1% FAR Overall
|
98.63
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.01% FAR Impersonation
|
54.40
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.01% FAR Obfuscation
|
97.20
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.01% FAR Plastic Surgery
|
96.00
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A2-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.01% FAR Overall
|
96.18
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.1% FAR Impersonation
|
76.40
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.1% FAR Obfuscation
|
96.84
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.1% FAR Plastic Surgery
|
95.20
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.1% FAR Overall
|
95.96
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.01% FAR Impersonation
|
52.80
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.01% FAR Obfuscation
|
94.02
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.01% FAR Plastic Surgery
|
92.00
|
Facial Recognition and Modelling > Heterogeneous Face Recognition
|
Disguised Faces in the Wild 2019
|
A-LINK
|
https://ieeexplore.ieee.org/document/9104705
|
GAR @0.01% FAR Overall
|
93.06
|
Facial Recognition and Modelling > Facial Beauty Prediction
|
SCUT-FBP
|
CNN features + Bayesian ridge regression
|
http://arxiv.org/abs/1803.07253v1
|
MAE
|
0.2595
|
Facial Recognition and Modelling > Facial Beauty Prediction
|
SCUT-FBP
|
Combined Features + Gaussian Reg
|
http://arxiv.org/abs/1801.06345v1
|
MAE
|
0.3931
|
Facial Recognition and Modelling > Facial Beauty Prediction
|
MEBeauty
|
CNN + Earth Mover Distance
|
https://ieeexplore.ieee.org/document/10387332
|
MAE
|
0.616
|
Facial Recognition and Modelling > Facial Beauty Prediction
|
MEBeauty
|
CNN + Earth Mover Distance
|
https://ieeexplore.ieee.org/document/10387332
|
Root mean square error (RMSE)
|
0.794
|
Facial Recognition and Modelling > Facial Beauty Prediction
|
MEBeauty
|
CNN + Earth Mover Distance
|
https://ieeexplore.ieee.org/document/10387332
|
Pearson Corr
|
0.795
|
Facial Recognition and Modelling > Facial Beauty Prediction
|
MEBeauty
|
DenseNet
|
https://link.springer.com/article/10.1007/s00521-021-06535-0
|
MAE
|
0.674
|
Facial Recognition and Modelling > Facial Beauty Prediction
|
MEBeauty
|
DenseNet
|
https://link.springer.com/article/10.1007/s00521-021-06535-0
|
Root mean square error (RMSE)
|
0.877
|
Facial Recognition and Modelling > Facial Beauty Prediction
|
MEBeauty
|
DenseNet
|
https://link.springer.com/article/10.1007/s00521-021-06535-0
|
Pearson Corr
|
0.748
|
Facial Recognition and Modelling > Facial Beauty Prediction
|
ECCV HotOrNot
|
CNN features + Bayesian ridge regression
|
http://arxiv.org/abs/1803.07253v1
|
Pearson Correlation
|
0.468
|
Autonomous Vehicles
|
ApolloCar3D
|
BAAM
|
http://openaccess.thecvf.com//content/CVPR2023/html/Lee_BAAM_Monocular_3D_Pose_and_Shape_Reconstruction_With_Bi-Contextual_Attention_CVPR_2023_paper.html
|
A3DP
|
22.85
|
Autonomous Vehicles
|
ApolloCar3D
|
GSNet
|
https://arxiv.org/abs/2007.13124v1
|
A3DP
|
20.21
|
Autonomous Vehicles > Autonomous Driving
|
Town05 Short
|
Geometric Fusion
|
https://arxiv.org/abs/2104.09224v1
|
RC
|
86.91
|
Autonomous Vehicles > Autonomous Driving
|
Town05 Short
|
TransFuser
|
https://arxiv.org/abs/2104.09224v1
|
RC
|
78.41
|
Autonomous Vehicles > Autonomous Driving
|
Town05 Short
|
TransFuser
|
https://arxiv.org/abs/2104.09224v1
|
DS
|
54.52
|
Autonomous Vehicles > Autonomous Driving
|
Town05 Long
|
Geometric Fusion
|
https://arxiv.org/abs/2104.09224v1
|
RC
|
69.17
|
Autonomous Vehicles > Autonomous Driving
|
Town05 Long
|
TransFuser
|
https://arxiv.org/abs/2104.09224v1
|
RC
|
56.36
|
Autonomous Vehicles > Autonomous Driving
|
Town05 Long
|
TransFuser
|
https://arxiv.org/abs/2104.09224v1
|
DS
|
33.15
|
Autonomous Vehicles > Autonomous Driving
|
ApolloCar3D
|
GSNet
|
https://arxiv.org/abs/2007.13124v1
|
A3DP
|
20.21
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
ReasonNet
|
https://arxiv.org/abs/2305.10507v1
|
Driving Score
|
79.95
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
ReasonNet
|
https://arxiv.org/abs/2305.10507v1
|
Route Completion
|
89.89
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
ReasonNet
|
https://arxiv.org/abs/2305.10507v1
|
Infraction penalty
|
0.89
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
InterFuser
|
https://arxiv.org/abs/2207.14024v5
|
Driving Score
|
76.18
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
InterFuser
|
https://arxiv.org/abs/2207.14024v5
|
Route Completion
|
88.23
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
InterFuser
|
https://arxiv.org/abs/2207.14024v5
|
Infraction penalty
|
0.84
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TCP
|
https://arxiv.org/abs/2206.08129v2
|
Driving Score
|
75.14
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TCP
|
https://arxiv.org/abs/2206.08129v2
|
Route Completion
|
85.63
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TCP
|
https://arxiv.org/abs/2206.08129v2
|
Infraction penalty
|
0.87
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TF++ WP
|
https://arxiv.org/abs/2306.07957v2
|
Driving Score
|
66.32
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TF++ WP
|
https://arxiv.org/abs/2306.07957v2
|
Route Completion
|
78.57
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TF++ WP
|
https://arxiv.org/abs/2306.07957v2
|
Infraction penalty
|
0.84
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
Learning From All Vehicles (LAV)
|
https://arxiv.org/abs/2203.11934v3
|
Driving Score
|
61.846
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
Learning From All Vehicles (LAV)
|
https://arxiv.org/abs/2203.11934v3
|
Route Completion
|
94.459
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
Learning From All Vehicles (LAV)
|
https://arxiv.org/abs/2203.11934v3
|
Infraction penalty
|
0.640
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TransFuser
|
https://arxiv.org/abs/2205.15997v1
|
Driving Score
|
61.181
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TransFuser
|
https://arxiv.org/abs/2205.15997v1
|
Route Completion
|
86.694
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TransFuser
|
https://arxiv.org/abs/2205.15997v1
|
Infraction penalty
|
0.714
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TransFuser (Reproduced)
|
https://arxiv.org/abs/2205.15997v1
|
Driving Score
|
55.04
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TransFuser (Reproduced)
|
https://arxiv.org/abs/2205.15997v1
|
Route Completion
|
89.65
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TransFuser (Reproduced)
|
https://arxiv.org/abs/2205.15997v1
|
Infraction penalty
|
0.63
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TCP (Reproduced)
|
https://arxiv.org/abs/2206.08129v2
|
Driving Score
|
47.91
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TCP (Reproduced)
|
https://arxiv.org/abs/2206.08129v2
|
Route Completion
|
65.73
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
TCP (Reproduced)
|
https://arxiv.org/abs/2206.08129v2
|
Infraction penalty
|
0.77
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
Latent TransFuser
|
https://arxiv.org/abs/2205.15997v1
|
Driving Score
|
45.20
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
Latent TransFuser
|
https://arxiv.org/abs/2205.15997v1
|
Route Completion
|
66.31
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
Latent TransFuser
|
https://arxiv.org/abs/2205.15997v1
|
Infraction penalty
|
0.72
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
GRIAD
|
https://arxiv.org/abs/2111.08575v2
|
Driving Score
|
36.79
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
GRIAD
|
https://arxiv.org/abs/2111.08575v2
|
Route Completion
|
61.85
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
GRIAD
|
https://arxiv.org/abs/2111.08575v2
|
Infraction penalty
|
0.6
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
Transfuser+
| null |
Driving Score
|
34.58
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
Transfuser+
| null |
Route Completion
|
69.84
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
Transfuser+
| null |
Infraction penalty
|
0.56
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
InterFuser (Reproduced)
|
https://arxiv.org/abs/2207.14024v5
|
Driving Score
|
34.15
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
InterFuser (Reproduced)
|
https://arxiv.org/abs/2207.14024v5
|
Route Completion
|
74.79
|
Autonomous Vehicles > Autonomous Driving
|
CARLA Leaderboard
|
InterFuser (Reproduced)
|
https://arxiv.org/abs/2207.14024v5
|
Infraction penalty
|
0.45
|
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