MixFace: Improving face verification with a focus on fine-grained conditions
The performance of face recognition (FR) has reached a plateau for publicbenchmark datasets, such as labeled faces in the wild (LFW), celebrities in frontal-profile in the wild (CFP-FP), and the first manually collected, inthe-wild age database (AgeDB), owing to the rapid advances in convolutional n...
I tiakina i:
| Ngā kaituhi matua: | , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
Electronics and Telecommunications Research Institute (ETRI)
2024-08-01
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| Rangatū: | ETRI Journal |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.4218/etrij.2023-0167 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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