Deep Learning Face Attributes in the Wild
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- Type
- article
- Published
- 2014-11-27
- Cited by
- 9,901
- References
- 43
- Access
- Open access
- OpenAlex
- https://openalex.org/W1834627138
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:459456
Keywords
Computer science, Artificial intelligence, Face (sociological concept), Pattern recognition (psychology), Margin (machine learning)
References
- Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
- Self-taught object localization with deep networks
- Labeled Faces in the Wild: A Database forStudying Face Recognition in Unconstrained Environments
- Deep Attribute Networks
- Fully convolutional networks for semantic segmentation
- Pedestrian detection aided by deep learning semantic tasks
- Deep Convolutional Network Cascade for Facial Point Detection
- Hierarchical face parsing via deep learning
- Is object localization for free? - Weakly-supervised learning with convolutional neural networks
- Two faces are better than one: Face recognition in group photographs
- SUN database: Large-scale scene recognition from abbey to zoo
- Aggregate channel features for multi-view face detection
- CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
- Exploiting relationship between attributes for improved face verification
- Describing objects by their attributes
- Learning SURF Cascade for Fast and Accurate Object Detection
- ImageNet: A large-scale hierarchical image database
- Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
- LIBLINEAR: A Library for Large Linear Classification
- POOF: Part-Based One-vs.-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation
Cited by
- Face analysis using 3D morphable models
- Robust face recognition with structural binary gradient patterns
- Vehicle Classification using Transferable Deep Neural Network Features
- Automated kinship verification and identification through human facial images: a survey
- Deep Convolutional Neural Networks and Support Vector Machines for Gender Recognition
- Discriminative Regularization for Generative Models
- Face Attribute Prediction with classification CNN
- Face Attribute Prediction Using Off-The-Shelf Deep Learning Networks
- HyperFace: A Deep Multi-Task Learning Framework for Face Detection, Landmark Localization, Pose Estimation, and Gender Recognition
- Face attribute classification using attribute-aware correlation map and gated convolutional neural networks
- Learning Saliency Features for Face Detection and Recognition Using Multi-task Network
- A Richly Annotated Dataset for Pedestrian Attribute Recognition
- Adaptive Part-Level Model Knowledge Transfer for Gender Classification
- Walk and Learn: Facial Attribute Representation Learning from Egocentric Video and Contextual Data
- Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks
- Convolutional neural networks for attribute-based active authentication on mobile devices
- Attributes for Improved Attributes: A Multi-Task Network for Attribute Classification
- Are facial attributes adversarially robust?
- Localizing by Describing: Attribute-Guided Attention Localization for Fine-Grained Recognition
- Refining Architectures of Deep Convolutional Neural Networks
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