Object Detection
5,109 papers
Papers per year
15
13
11
13
13
21
26
176
88
161
109
143
147
383
394
585
505
707
639
639
321
'10
'15
'20
'25
Papers
Learning To Count Objects in Images
NeurIPS 2010
Multi-label Multiple Kernel Learning by Stochastic Approximation: Application to Visual Object Recognition
NeurIPS 2010
Object Bank: A High-Level Image Representation for Scene Classification & Semantic Feature Sparsification
NeurIPS 2010
Occlusion Detection and Motion Estimation with Convex Optimization
NeurIPS 2010
Simultaneous Object Detection and Ranking with Weak Supervision
NeurIPS 2010
Size Matters: Metric Visual Search Constraints from Monocular Metadata
NeurIPS 2010
Tiled convolutional neural networks
NeurIPS 2010
3D Object Recognition with Deep Belief Nets
NeurIPS 2009
An Additive Latent Feature Model for Transparent Object Recognition
NeurIPS 2009
Beyond Categories: The Visual Memex Model for Reasoning About Object Relationships
NeurIPS 2009
Bilinear classifiers for visual recognition
NeurIPS 2009
Efficient Match Kernel between Sets of Features for Visual Recognition
NeurIPS 2009
Evaluating multi-class learning strategies in a generative hierarchical framework for object detection
NeurIPS 2009
Individuation, Identification and Object Discovery
NeurIPS 2009
Learning from Neighboring Strokes: Combining Appearance and Context for Multi-Domain Sketch Recognition
NeurIPS 2009
Learning models of object structure
NeurIPS 2009
Region-based Segmentation and Object Detection
NeurIPS 2009
Semi-Supervised Learning in Gigantic Image Collections
NeurIPS 2009
Structured output regression for detection with partial truncation
NeurIPS 2009
Unsupervised Detection of Regions of Interest Using Iterative Link Analysis
NeurIPS 2009
A ``Shape Aware'' Model for semi-supervised Learning of Objects and its Context
NeurIPS 2008
Cascaded Classification Models: Combining Models for Holistic Scene Understanding
NeurIPS 2008
Classifying Dynamic Objects: An Unsupervised Learning Approach
RSS 2008
Dimensionality Reduction for Data in Multiple Feature Representations
NeurIPS 2008
MCBoost: Multiple Classifier Boosting for Perceptual Co-clustering of Images and Visual Features
NeurIPS 2008