image classification

Discriminative Unsupervised Feature Learning with Convolutional Neural Networks NeurIPS 2014 Do Convnets Learn Correspondence? NeurIPS 2014 Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors NeurIPS 2014 Fantope Regularization in Metric Learning CVPR 2014 Generalized Max Pooling CVPR 2014 General Stochastic Networks for Classification NeurIPS 2014 Histograms of Pattern Sets for Image Classification and Object Recognition CVPR 2014 Incremental Learning of NCM Forests for Large-Scale Image Classification CVPR 2014 Is Rotation a Nuisance in Shape Recognition? CVPR 2014 Large-Scale Visual Font Recognition CVPR 2014 Learning Deep Features for Scene Recognition using Places Database NeurIPS 2014 Learning Everything about Anything: Webly-Supervised Visual Concept Learning CVPR 2014 Learning Receptive Fields for Pooling from Tensors of Feature Response CVPR 2014 Log-Hilbert-Schmidt metric between positive definite operators on Hilbert spaces NeurIPS 2014 Looking Beyond the Visible Scene CVPR 2014 LSDA: Large Scale Detection through Adaptation NeurIPS 2014 Modeling Image Patches with a Generic Dictionary of Mini-Epitomes CVPR 2014 Predicting Useful Neighborhoods for Lazy Local Learning NeurIPS 2014 Product Sparse Coding CVPR 2014 Random Laplace Feature Maps for Semigroup Kernels on Histograms CVPR 2014 Recurrent Models of Visual Attention NeurIPS 2014 Region-based Discriminative Feature Pooling for Scene Text Recognition CVPR 2014 Sample Distillation for Object Detection and Image Classification ACML 2014 Self-Adaptable Templates for Feature Coding NeurIPS 2014 Semi-supervised Spectral Clustering for Image Set Classification CVPR 2014