image classification

Loss Functions for Top-k Error: Analysis and Insights CVPR 2016 Material Classification Using Raw Time-Of-Flight Measurements CVPR 2016 Mining Discriminative Triplets of Patches for Fine-Grained Classification CVPR 2016 Mitochondria-based Renal Cell Carcinoma Subtyping: Learning from Deep vs. Flat Feature Representations MLHC 2016 Part-Stacked CNN for Fine-Grained Visual Categorization CVPR 2016 Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification CVPR 2016 Picking Deep Filter Responses for Fine-Grained Image Recognition CVPR 2016 Quantized Convolutional Neural Networks for Mobile Devices CVPR 2016 Region Ranking SVM for Image Classification CVPR 2016 Rethinking the Inception Architecture for Computer Vision CVPR 2016 Seeing Behind the Camera: Identifying the Authorship of a Photograph CVPR 2016 Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels CVPR 2016 Sparse Coding for Classification via Discrimination Ensemble CVPR 2016 Structured Receptive Fields in CNNs CVPR 2016 Supervised Learning with Tensor Networks NeurIPS 2016 Symmetry reCAPTCHA CVPR 2016 Traffic-Sign Detection and Classification in the Wild CVPR 2016 Understanding and Improving Convolutional Neural Networks via Concatenated Rectified Linear Units ICML 2016 Unsupervised Learning of Discriminative Attributes and Visual Representations CVPR 2016 Visualizing and Understanding Deep Texture Representations CVPR 2016 Weakly Supervised Deep Detection Networks CVPR 2016 We Are Humor Beings: Understanding and Predicting Visual Humor CVPR 2016 WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks CVPR 2016 When Naive Bayes Nearest Neighbors Meet Convolutional Neural Networks CVPR 2016 When VLAD Met Hilbert CVPR 2016