The remolded features are then fused to a novel image representation to retrieve face images more effectively. A large number of experiments based on the dataset collected on the Internet demonstrate the good performance of our method in Mean Average Precision (MAP)....
DatasetLabelDescription DatasetLabelStats DatasetMetadata DatasetSource DatasetStats DetectionFilter DetectLabelsImageBackground DetectLabelsImageForeground DetectLabelsImageProperties DetectLabelsImagePropertiesSettings DetectLabelsImageQuality DetectLabelsSettings DetectTextFilters DisassociatedFace DistributeDataset DominantColo...
python tensorflow numpy kaggle dataset image-classification face-recognition matplotlib python-3 tensorflow-framework transfer-learning celebrity validation-accuracy tensorflow2 celebrity-face-recognition Updated Mar 24, 2021 Jupyter Notebook ParthS007 / CelebrityMatch Star 9 Code Issues Pull requests It...
In this paper, we describe a new real time application called PubFace, which allows to recognize celebrities in public spaces by employs a new pose invariant face recognition deep neural network algorithm with an extremely low error rate. To build this application, we make the following contributi...
{}foridxinrange(len(data_list)):file_name=data_list[idx][:-4]annotation=file_name.split('_')age=float(annotation[0])identity=''foriinrange(1,len(annotation)-1):identity+=annotation[i]+' 'file_path=os.path.join(img_path,data_list[idx])assertos.path.exists(file_path),'Image not...
Create the docker image using docker build (cpu/gpu) docker build -f Dockerfile-cpu -t <id>/facetag:cpu . docker build -f Dockerfile-cpu -t <id>/facetag:gpu . Run app (facetag and mongodb) docker-compose -f docker-app.yaml up -d ...
Further, it has been reported that many young adults seek information about a celebrity's suicide, career, and depression following a celebrity's suicide by using social media outlets such as Twitter and Facebook (Dillman Carpentier and Parrott, 2016) and vulnerable individuals may be adversely ...
(iQIYI-VID), consisting of 500,000 video clips of 5,000 celebrities totaling over 1,000 hours. The use of video makes identification more difficult than the photo-based datasets typically used in biometric recognition, requiring participants to deal with various factors such as face, pose, ...
For face representation, we have extracted features using various conventional approaches such as Scale-Invariant Feature Transform (SIFT), Fast Fourier Transform (FFT), and Discrete Cosine Transform (DCT), and the deep approach using deep features from a pre-trained architecture. After extracting ...
Human face contains significant information to be used in a content driven task and applicable to various applications of computer vision and multimedia systems. In this research work, a deep learning-based model has been discussed for Content-Based Image Retrieval (CBIR). In CBIR, there are two...