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CNN-Based Multimodal Human Recognition in Surveillance ...
In performance evaluations based on EER, ROC curves and CMC curves, it was confirmed that the proposed method (the EERs of 1.52% for DFB-DB1 and 0.58% for the ChokePoint dataset, and the GARs of rank1 of about 99.3% for DFB-DB1 and 99.95% for the ChokePoint dataset) is superior in comparison to face or body single modality-based recognition and ......
GitHub - seasonSH/Probabilistic-Face-Embeddings: (ICCV ...
Probabilistic Face Embeddings. News: Our paper has been accepted to ICCV 2019. This is a demo code of training and testing Probabilistic Face Embeddings using Tensorflow. Probabilistic Face Embeddging (PFE) is a method that converts conventional CNN-based face embeddings into probabilistic embeddings by calibrating each feature value with an uncertainty value....
Pushing the boundaries of Face Recognition systems ...
It's clear that the new CNN-based method is able to improve recall and give more assertive recognition in terms of confidence values. The importance of this recognition robustness is two folded ...
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