feature learning

Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture CVPR 2015 Improving Image Classification With Location Context ICCV 2015 Learning Coarse-to-Fine Sparselets for Efficient Object Detection and Scene Classification CVPR 2015 Learning Data-Driven Reflectance Priors for Intrinsic Image Decomposition ICCV 2015 Learning Deep Structured Models ICML 2015 Learning Image and User Features for Recommendation in Social Networks ICCV 2015 Learning Large-Scale Automatic Image Colorization ICCV 2015 Learning to Predict Saliency on Face Images ICCV 2015 Learning to See by Moving ICCV 2015 Learning With Dataset Bias in Latent Subcategory Models CVPR 2015 Listening With Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines ICCV 2015 Local Convolutional Features With Unsupervised Training for Image Retrieval ICCV 2015 MMSS: Multi-Modal Sharable and Specific Feature Learning for RGB-D Object Recognition ICCV 2015 On the Relationship Between Visual Attributes and Convolutional Networks CVPR 2015 SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks ICCV 2015 Simultaneous Local Binary Feature Learning and Encoding for Face Recognition ICCV 2015 Supervised Mid-Level Features for Word Image Representation CVPR 2015 Transformation-Invariant Convolutional Jungles CVPR 2015 Unsupervised Domain Adaptation by Backpropagation ICML 2015 Weakly Supervised Object Detection With Convex Clustering CVPR 2015 Winner-Take-All Autoencoders NeurIPS 2015 A Unified Semantic Embedding: Relating Taxonomies and Attributes NeurIPS 2014 Automatic Feature Learning for Robust Shadow Detection CVPR 2014 Bayesian Nonlinear Support Vector Machines and Discriminative Factor Modeling NeurIPS 2014 Classification of Histology Sections via Multispectral Convolutional Sparse Coding CVPR 2014