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A Design Principle for Coarse-to-Fine Classification

https://doi.org/10.1109/cvpr.2006.21

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1006/jcss.1997.1504openalex-snapshot

A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting

inferredcites →https://doi.org/10.1007/3-540-45129-3_47openalex-snapshot

Pattern Detection Using a Maximal Rejection Classifier

inferredcites →https://doi.org/10.1007/s00357-005-0004-9openalex-snapshot

A Hierarchical Methodology for Class Detection Problems with Skewed Priors

inferredcites →https://doi.org/10.1007/s11263-006-0033-9openalex-snapshot

POP: Patchwork of Parts Models for Object Recognition

inferredcites →https://doi.org/10.1016/s0167-8655(02)00106-xopenalex-snapshot

Rejection based classifier for face detection

inferredcites →https://doi.org/10.1023/a:1011113216584openalex-snapshot

Coarse-to-Fine Face Detection

inferredcites →https://doi.org/10.1038/nn870openalex-snapshot

Visual features of intermediate complexity and their use in classification

inferredcites →https://doi.org/10.1109/34.655647openalex-snapshot

Neural network-based face detection

inferredcites →https://doi.org/10.1109/34.655648openalex-snapshot

Example-based learning for view-based human face detection

inferredcites →https://doi.org/10.1109/cvpr.1996.517078openalex-snapshot

Recognition of planar object classes

inferredcites →https://doi.org/10.1109/cvpr.1996.517125openalex-snapshot

Pattern rejection

inferredcites →https://doi.org/10.1109/cvpr.1997.609310openalex-snapshot

Training support vector machines: an application to face detection

inferredcites →https://doi.org/10.1109/cvpr.2001.990517openalex-snapshot

Rapid object detection using a boosted cascade of simple features

inferredcites →https://doi.org/10.1109/cvpr.2004.1315241openalex-snapshot

Sharing features: efficient boosting procedures for multiclass object detection

inferredcites →https://doi.org/10.1109/icpr.1998.711175openalex-snapshot

Multi-feature hierarchical template matching using distance transforms

inferredcites →https://doi.org/10.1109/tpami.2004.111openalex-snapshot

A coarse-to-fine strategy for multiclass shape detection

inferredcites →https://doi.org/10.1109/wcica.2010.5553758openalex-snapshot

Structural properties of composite systems analysis software development and algorithm

inferredcites →https://doi.org/10.1145/1102351.1102476openalex-snapshot

Linear Asymmetric Classifier for cascade detectors

inferredcites →https://doi.org/10.1214/009053605000000174openalex-snapshot

Hierarchical testing designs for pattern recognition

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/9781394306657.ch2openalex-snapshot

Hierarchical Crop Mapping from Satellite Image Sequences with Recurrent Neural Networks

inferred← citeshttps://doi.org/10.1007/978-3-642-15555-0_50openalex-snapshot

A Coarse-to-Fine Taxonomy of Constellations for Fast Multi-class Object Detection

inferred← citeshttps://doi.org/10.1007/978-3-642-17934-1_4openalex-snapshot

Task-Specific Salience for Object Recognition

inferred← citeshttps://doi.org/10.1007/s11263-007-0060-1openalex-snapshot

On the Design of Cascades of Boosted Ensembles for Face Detection

inferred← citeshttps://doi.org/10.1007/s11263-013-0670-8openalex-snapshot

Branch&Rank for Efficient Object Detection

inferred← citeshttps://doi.org/10.1016/j.ins.2013.02.051openalex-snapshot

Using the idea of the sparse representation to perform coarse-to-fine face recognition

inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2008.09.005openalex-snapshot

Classification-based vehicle detection in high-resolution satellite images

inferred← citeshttps://doi.org/10.1049/iet-cvi.2017.0636openalex-snapshot

CNN with coarse‐to‐fine layer for hierarchical classification

inferred← citeshttps://doi.org/10.1109/cvpr.2008.4587620openalex-snapshot

Unsupervised learning of visual taxonomies

inferred← citeshttps://doi.org/10.1109/cvpr.2010.5539906openalex-snapshot

Cascade object detection with deformable part models

inferred← citeshttps://doi.org/10.1109/tcsvt.2011.2138790openalex-snapshot

A Two-Phase Test Sample Sparse Representation Method for Use With Face Recognition

inferred← citeshttps://doi.org/10.1109/tpami.2014.2359653openalex-snapshot

Learning Near-Optimal Cost-Sensitive Decision Policy for Object Detection

inferred← citeshttps://doi.org/10.1109/wcica.2012.6359361openalex-snapshot

M-nearest neighbor selection for two-phase test sample representation in face recognition

inferred← citeshttps://doi.org/10.1117/1.3658762openalex-snapshot

REBoost: probabilistic resampling for boosted pedestrian detection

inferred← citeshttps://doi.org/10.1145/1242572.1242631openalex-snapshot

Combining classifiers to identify online databases

inferred← citeshttps://doi.org/10.1145/2494532openalex-snapshot

Visual object detection with deformable part models

inferred← citeshttps://doi.org/10.1371/journal.pone.0070370openalex-snapshot

Improved Minimum Squared Error Algorithm with Applications to Face Recognition

inferred← citeshttps://doi.org/10.3389/frobt.2015.00029openalex-snapshot

Object Detection: Current and Future Directions

inferred← citeshttps://doi.org/10.3934/dcdss.2015.8.1385openalex-snapshot

Weighted two-phase supervised sparse representation based on Gaussian for face recognition

inferred← citeshttps://doi.org/10.5194/isprsannals-i-3-197-2012openalex-snapshot

LEARNING A COMPOSITIONAL REPRESENTATION FOR FACADE OBJECT CATEGORIZATION

inferred← citeshttps://doi.org/10.5244/c.25.8openalex-snapshot

Branch&Rank: Non-Linear Object Detection

inferred← citeshttps://doi.org/10.5244/c.28.31openalex-snapshot

Hierarchical Cascade of Classifiers for Efficient Poselet Evaluation

inferred← citeshttps://doi.org/10.70675/dd167f4az2700z4f87z8231z3bccafd2a77bopenalex-snapshot

Mid-level representations for modeling objects

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