Skip to content
conftrace_

object detection

2,930 papers

OD

Papers

Cataloging Public Objects Using Aerial and Street-Level Images - Urban Trees CVPR 2016 CRAFT Objects From Images CVPR 2016 Deep Exemplar 2D-3D Detection by Adapting From Real to Rendered Views CVPR 2016 Deep Interactive Object Selection CVPR 2016 Deep Saliency With Encoded Low Level Distance Map and High Level Features CVPR 2016 Detecting Migrating Birds at Night CVPR 2016 Detecting Repeating Objects Using Patch Correlation Analysis CVPR 2016 Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection CVPR 2016 Discriminatively-guided Deliberative Perception for Pose Estimation of Multiple 3D Object Instances RSS 2016 Efficient Point Process Inference for Large-Scale Object Detection CVPR 2016 End-To-End People Detection in Crowded Scenes CVPR 2016 Exemplar-Driven Top-Down Saliency Detection via Deep Association CVPR 2016 Exploit All the Layers: Fast and Accurate CNN Object Detector With Scale Dependent Pooling and Cascaded Rejection Classifiers CVPR 2016 Factors in Finetuning Deep Model for Object Detection With Long-Tail Distribution CVPR 2016 G-CNN: An Iterative Grid Based Object Detector CVPR 2016 Harnessing Object and Scene Semantics for Large-Scale Video Understanding CVPR 2016 How Far Are We From Solving Pedestrian Detection? CVPR 2016 HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection CVPR 2016 Inside-Outside Net: Detecting Objects in Context With Skip Pooling and Recurrent Neural Networks CVPR 2016 Instance-Aware Semantic Segmentation via Multi-Task Network Cascades CVPR 2016 Instance-Level Segmentation for Autonomous Driving With Deep Densely Connected MRFs CVPR 2016 Integrated perception with recurrent multi-task neural networks NeurIPS 2016 Large Scale Hard Sample Mining With Monte Carlo Tree Search CVPR 2016 Large Scale Semi-Supervised Object Detection Using Visual and Semantic Knowledge Transfer CVPR 2016 Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning JMLR 2016