Table 5.
Summary of works carried out using Hybrid FMD.
Reference | Methodology | Dataset | Performance |
---|---|---|---|
Bhattacharya (55) | HybridFace maskNet | 62% accuracy | |
Loey et al. (56) | Resnet50 SVM Ensemble algorithm Decision tree |
Real-World Masked Face Dataset (RMFD) Simulated Masked Face Dataset (SMFD) Labeled Faces in the Wild (LFW) |
SVM 99.64% had accuracy on RMFD 99.49% accuracy on SMFD and 100% accuracy on LFW |
Aydemir et al. (57) | Pre-trained ResNet101 and DenseNet201 | 95.95, 97.49, and 100.0% accuracies for the three cases. | |
Ristea and Ionescu (58) | ResNet SVM |
74.6% accuracy | |
Nieto-Rodríguez et al. (59) | Viola-Jones face detection technique | BAO database | |
Wang et al. (41) | RCNN and InceptionV2 | WMD | 97.32% accuracy for basic scenarios 91.13% accuracy for more difficult scenarios |