One example of a state-of-the-art model is the VGGFace and VGGFace2 model developed by researchers at the Visual Geometry Group at Oxford. Although the model can be challenging to implement and resource intensive to train, it can be easily used in standard deep learning libraries su...
One standard way to add a new person to the model is to call theone-shot learning. In the one-shot learning problem, you have to learn from just one example to recognize the person again. I might be risky since this one photo could be badly lighted or the pose of the face is really...
ZQ. Cao, L. Shen, W. Xie, O. M. Parkhi, A. Zisserman, VGGFace2: A dataset for recognising faces across pose and age, 2018. site,arXiv Parkhi, O. M. and Vedaldi, A. and Zisserman, A., Deep Face Recognition, British Machine Vision Conference, 2015.site K. Zhang and Z. Zhang...
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As the optimal solution, transfer learning from the InceptionV3 model was preferred, vertical positioning was made, and an accuracy rate of 95.47% was achieved when 10% of the images were used for testing and 90% for training in a 100 people subset of VGGFace2 dataset. In LFW, one of ...
Low-Resolution face recognitionConvolutional neural networksFace verificationConvolutional neural networks have reached extremely high performances on the Face Recognition task. These models are commonly trained by using high-resolution images and for this reason, their......
The system's effectiveness is demonstrated through its high accuracy, precision, recall, and F1-score of 99.9% on the LFW and VGGFace2 datasets, thereby overcoming traditional FR problems.Rathod, Vinod MotiramDepartment of Computer Science and Engineering, Bharati Vidyapeeth Deemed University, DET, ...
=2vgg_model=VGGFace(include_top=False,input_shape=(224,224,3))last_layer=vgg_model.get_layer('avg_pool').outputx=Flatten(name='flatten')(last_layer)out=Dense(nb_class,activation='softmax',name='classifier')(x)custom_vgg_model=Model(vgg_model.input,out)# Train your model as usual....
resnet50_scratchResNet-50 trained from scratch on VGGFace2 senet50_scratchSE-ResNet-50 trained likeresnet50_scratch --weight_fileweight file converted from Caffe model(seehere), and used for fine-tuning --resumecheckpoint file used to resume training (default: None). If set,--weight_fileis...
Keras implementation of the renowned publication "DeepFace: Closing the Gap to Human-Level Performance in Face Verification" by Taigman et al. Pre-trained weights on VGGFace2 dataset. - swghosh/DeepFace