convolutional neural network

Large-Margin Softmax Loss for Convolutional Neural Networks ICML 2016 Large-Pose Face Alignment via CNN-Based Dense 3D Model Fitting CVPR 2016 Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer CVPR 2016 Latent Factor Guided Convolutional Neural Networks for Age-Invariant Face Recognition CVPR 2016 Learnable Visual Markers NeurIPS 2016 Learning Aligned Cross-Modal Representations From Weakly Aligned Data CVPR 2016 Learning Convolutional Neural Networks for Graphs ICML 2016 Learning Deep Feature Representations With Domain Guided Dropout for Person Re-Identification CVPR 2016 Learning Deep Features for Discriminative Localization CVPR 2016 Learning Dense Correspondence via 3D-Guided Cycle Consistency CVPR 2016 Learning End-to-end Video Classification with Rank-Pooling ICML 2016 Learning from Small Sample Sets by Combining Unsupervised Meta-Training with CNNs NeurIPS 2016 Learning Local Image Descriptors With Deep Siamese and Triplet Convolutional Networks by Minimising Global Loss Functions CVPR 2016 Learning Multi-Domain Convolutional Neural Networks for Visual Tracking CVPR 2016 Learning Multiscale Features Directly from Waveforms Interspeech 2016 Learning Relaxed Deep Supervision for Better Edge Detection CVPR 2016 Learning shape correspondence with anisotropic convolutional neural networks NeurIPS 2016 Learning Sparse High Dimensional Filters: Image Filtering, Dense CRFs and Bilateral Neural Networks CVPR 2016 Learning to Assign Orientations to Feature Points CVPR 2016 Learning to Co-Generate Object Proposals With a Deep Structured Network CVPR 2016 Learning to Read Chest X-Rays: Recurrent Neural Cascade Model for Automated Image Annotation CVPR 2016 Learning to Select Pre-Trained Deep Representations With Bayesian Evidence Framework CVPR 2016 Learning With Side Information Through Modality Hallucination CVPR 2016 Local Similarity-Aware Deep Feature Embedding NeurIPS 2016 LocNet: Improving Localization Accuracy for Object Detection CVPR 2016