Object Detection

Multi-Scale Patch Aggregation (MPA) for Simultaneous Detection and Segmentation CVPR 2016 Natural Language Object Retrieval CVPR 2016 Object Detection From Video Tubelets With Convolutional Neural Networks CVPR 2016 Object-Proposal Evaluation Protocol is 'Gameable' CVPR 2016 Object Skeleton Extraction in Natural Images by Fusing Scale-Associated Deep Side Outputs CVPR 2016 Pairwise Decomposition of Image Sequences for Active Multi-View Recognition CVPR 2016 Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry CVPR 2016 Picking Deep Filter Responses for Fine-Grained Image Recognition CVPR 2016 POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models CVPR 2016 Predicting When Saliency Maps Are Accurate and Eye Fixations Consistent CVPR 2016 Progressive Feature Matching With Alternate Descriptor Selection and Correspondence Enrichment CVPR 2016 Progressively Parsing Interactional Objects for Fine Grained Action Detection CVPR 2016 Proposal Flow CVPR 2016 Real-Time Salient Object Detection With a Minimum Spanning Tree CVPR 2016 Recognizing Car Fluents From Video CVPR 2016 Recovering 6D Object Pose and Predicting Next-Best-View in the Crowd CVPR 2016 Region Ranking SVM for Image Classification CVPR 2016 Regularity-Driven Facade Matching Between Aerial and Street Views CVPR 2016 Reinforcement Learning for Visual Object Detection CVPR 2016 Reversible Recursive Instance-Level Object Segmentation CVPR 2016 R-FCN: Object Detection via Region-based Fully Convolutional Networks NeurIPS 2016 RIFD-CNN: Rotation-Invariant and Fisher Discriminative Convolutional Neural Networks for Object Detection CVPR 2016 Seeing Glassware: from Edge Detection to Pose Estimation and Shape Recovery RSS 2016 Semantic Channels for Fast Pedestrian Detection CVPR 2016 Shallow and Deep Convolutional Networks for Saliency Prediction CVPR 2016