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Models/PSR

PSR

Reported on 12 benchmarks across 8 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Knowledge Base6 results

Data IntegrationonDBP15k zh-en
Hits@1· uses extra data· 2021-08-11
0.883
best: 0.973 (MEAformer)
SOTA
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness arXiv:2108.05278
Data Integrationondbp15k ja-en
Hits@1· uses extra data· 2021-08-11
0.908
best: 0.991 (MEAformer)
SOTA
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness arXiv:2108.05278
Data Integrationondbp15k fr-en
Hits@1· uses extra data· 2021-08-11
0.958
best: 0.996 (MEAformer)
SOTA
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness arXiv:2108.05278
Entity AlignmentonDBP15k zh-en
Hits@1· uses extra data· 2021-08-11
0.883
best: 0.973 (MEAformer)
SOTA
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness arXiv:2108.05278
Entity Alignmentondbp15k ja-en
Hits@1· uses extra data· 2021-08-11
0.908
best: 0.991 (MEAformer)
SOTA
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness arXiv:2108.05278
Entity Alignmentondbp15k fr-en
Hits@1· uses extra data· 2021-08-11
0.958
best: 0.996 (MEAformer)
SOTA
Are Negative Samples Necessary in Entity Alignment? An Approach with High Performance, Scalability and Robustness arXiv:2108.05278

Computer Vision3 results

Face ReconstructiononRAF-DB
Overall Accuracy· uses extra data
88.98
best: 94.76 (ResEmoteNet)
Facial Expression Recognition (FER)onRAF-DB
Overall Accuracy· uses extra data
88.98
best: 94.76 (ResEmoteNet)
3D Face ReconstructiononRAF-DB
Overall Accuracy· uses extra data
88.98
best: 94.76 (ResEmoteNet)

Music1 result

Facial Recognition and ModellingonRAF-DB
Overall Accuracy· uses extra data
88.98
best: 94.76 (ResEmoteNet)

Methodology1 result

3DonRAF-DB
Overall Accuracy· uses extra data
88.98
best: 94.76 (ResEmoteNet)

Medical1 result

3D Face ModellingonRAF-DB
Overall Accuracy· uses extra data
88.98
best: 94.76 (ResEmoteNet)