DeepGender: Occlusion and Low Resolution Robust Facial Gender Classification via Progressively Trained Convolutional Neural Networks with Attention.
Felix Juefei-XuEshan VermaParag GoelAnisha CherodianMarios SavvidesPublished in: CVPR Workshops (2016)
Keyphrases
- low resolution
- gender classification
- facial images
- face images
- convolutional neural networks
- illumination variations
- low resolution images
- convolutional network
- face hallucination
- high resolution
- face databases
- super resolution
- face recognition
- active appearance models
- pose variations
- high resolution images
- facial landmarks
- image super resolution
- human faces
- facial expressions
- low quality images
- low resolution face images
- facial features
- high quality
- training set
- partial occlusion
- face detection
- feature vectors
- depth images
- computationally efficient
- image database
- image sequences
- data sets
- single image
- d objects
- multiresolution
- object recognition
- video sequences
- computer vision