Object Detection

Confidence-Rated Multiple Instance Boosting for Object Detection CVPR 2014 Convolutional Kernel Networks NeurIPS 2014 DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition ICML 2014 Deep Joint Task Learning for Generic Object Extraction NeurIPS 2014 Deep Networks with Internal Selective Attention through Feedback Connections NeurIPS 2014 Deep Symmetry Networks NeurIPS 2014 Deformable Object Matching via Deformation Decomposition based 2D Label MRF CVPR 2014 Detecting Objects using Deformation Dictionaries CVPR 2014 Detect What You Can: Detecting and Representing Objects using Holistic Models and Body Parts CVPR 2014 Do Convnets Learn Correspondence? NeurIPS 2014 Efficient Optimization for Average Precision SVM NeurIPS 2014 Efficient Sample Mining for Object Detection ACML 2014 Fast Training of Pose Detectors in the Fourier Domain NeurIPS 2014 Fisher and VLAD with FLAIR CVPR 2014 From Categories to Individuals in Real Time -- A Unified Boosting Approach CVPR 2014 Histograms of Pattern Sets for Image Classification and Object Recognition CVPR 2014 Human vs. Computer in Scene and Object Recognition CVPR 2014 Immediate, Scalable Object Category Detection CVPR 2014 Incorporating Scene Context and Object Layout into Appearance Modeling CVPR 2014 Informed Haar-like Features Improve Pedestrian Detection CVPR 2014 In Search of Inliers: 3D Correspondence by Local and Global Voting CVPR 2014 Large-Scale Optimization of Hierarchical Features for Saliency Prediction in Natural Images CVPR 2014 Large-Scale Visual Font Recognition CVPR 2014 Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks CVPR 2014 Learning From Weakly Supervised Data by The Expectation Loss SVM (e-SVM) algorithm NeurIPS 2014