Pedestrian Detection with Spatially Pooled Features and Structured Ensemble Learning
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- Type
- article
- Published
- 2014-09-18
- Cited by
- 140
- References
- 69
- Access
- Open access
- OpenAlex
- https://openalex.org/W1908020446
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:10790309
Keywords
Pedestrian detection, Pooling, Artificial intelligence, Robustness (evolution), Computer science
References
- A Structural SVM Based Approach for Optimizing Partial AUC
- Beyond pixels: exploring new representations and applications for motion analysis
- Special Invited Paper-Additive logistic regression: A statistical view of boosting
- Linear Programming Boosting via Column Generation
- The treasure beneath convolutional layers: Cross-convolutional-layer pooling for image classification
- Regionlets for Generic Object Detection
- The devil is in the details: an evaluation of recent feature encoding methods
- Return of the Devil in the Details: Delving Deep into Convolutional Nets
- New features and insights for pedestrian detection
- Efficient Pedestrian Detection by Directly Optimizing the Partial Area under the ROC Curve
- Locality-constrained Linear Coding for image classification
- SVMpAUCtight: a new support vector method for optimizing partial AUC based on a tight convex upper bound
- A boosting method for maximizing the partial area under the ROC curve
- Cutting-plane training of structural SVMs
- Pedestrian Detection: An Evaluation of the State of the Art
- Seeking the Strongest Rigid Detector
- Training linear SVMs in linear time
- Beyond spatial pyramids: Receptive field learning for pooled image features
- Asymmetric support vector machines: low false-positive learning under the user tolerance
- The linear combinations of biomarkers which maximize the partial area under the ROC curves
Cited by
- Can appearance patterns improve pedestrian detection?
- Pedestrian detection aided by deep learning semantic tasks
- An Exploration of Why and When Pedestrian Detection Fails
- Learning to rank in person re-identification with metric ensembles
- Fast Pedestrian Detection for Mobile Devices
- A Boosted Multi-Task Model for Pedestrian Detection With Occlusion Handling
- Taking a deeper look at pedestrians
- 3D Object Proposals for Accurate Object Class Detection
- Deep Convolutional Neural Networks for pedestrian detection
- Deep Learning Strong Parts for Pedestrian Detection
- Object Detection: Current and Future Directions
- Pedestrian Detection Inspired by Appearance Constancy and Shape Symmetry
- Learning Multilayer Channel Features for Pedestrian Detection
- Pushing the Limits of Deep CNNs for Pedestrian Detection
- Exploring Prior Knowledge for Pedestrian Detection
- Human detection and tracking in surveillance videos
- Ground-Moving-Platform-Based Human Tracking Using Visual SLAM and Constrained Multiple Kernels
- Looking at Pedestrians at Different Scales: A Multiresolution Approach and Evaluations
- Monocular 3D Object Detection for Autonomous Driving
- Semantic Labeling of Aerial and Satellite Imagery
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