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Generic object recognition with boosting

https://doi.org/10.1109/tpami.2006.54

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What this work says

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

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Efficient Learning with Virtual Threshold Gates

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

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An Implicit Shape Model for Combined Object Categorization and Segmentation

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Simultaneous Object Recognition and Segmentation by Image Exploration

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Unsupervised Learning of Models for Recognition

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An Affine Invariant Interest Point Detector

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Learning a Sparse Representation for Object Detection

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A Visual Category Filter for Google Images

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A Statistical Model for General Contextual Object Recognition

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Simultaneous Object Recognition and Segmentation by Image Exploration

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Appearance Based Qualitative Image Description for Object Class Recognition

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Weak Hypotheses and Boosting for Generic Object Detection and Recognition

inferredcites →https://doi.org/10.1007/bfb0015574openalex-snapshot

Affine / photometric invariants for planar intensity patterns

inferredcites →https://doi.org/10.1007/bfb0020267openalex-snapshot

Corner detection in color images by multiscale combination of end-stopped cortical cells

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Detecting Pedestrians Using Patterns of Motion and Appearance

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Digital image processing

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A MORPHOLOGICAL OPERATOR FOR CORNER DETECTION

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Unsupervised texture segmentation using feature distributions

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Feature Detection with Automatic Scale Selection

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Evaluation of Interest Point Detectors

inferredcites →https://doi.org/10.1023/b:visi.0000011202.85607.00openalex-snapshot

Object Detection Using the Statistics of Parts

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Pictorial Structures for Object Recognition

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Mean shift: a robust approach toward feature space analysis

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Local grayvalue invariants for image retrieval

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Normalized cuts and image segmentation

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The design and use of steerable filters

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Ridge's corner detection and correspondence

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Probabilistic affine invariants for recognition

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Rapid object detection using a boosted cascade of simple features

inferredcites →https://doi.org/10.1109/cvpr.2003.1211478openalex-snapshot

A performance evaluation of local descriptors

inferredcites →https://doi.org/10.1109/cvpr.2003.1211479openalex-snapshot

Object class recognition by unsupervised scale-invariant learning

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The effects of segmentation and feature choice in a translation model of object recognition

inferredcites →https://doi.org/10.1109/cvpr.2004.1315150openalex-snapshot

Learning methods for generic object recognition with invariance to pose and lighting

inferredcites →https://doi.org/10.1109/iccv.1999.790410openalex-snapshot

Object recognition from local scale-invariant features

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Indexing based on scale invariant interest points

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Recognition with local features: the kernel recipe

inferredcites →https://doi.org/10.1109/iccv.2003.1238407openalex-snapshot

Selection of scale-invariant parts for object class recognition

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Detecting pedestrians using patterns of motion and appearance

inferredcites →https://doi.org/10.1109/icpr.2000.905273openalex-snapshot

Improving appearance-based object recognition in cluttered backgrounds

inferredcites →https://doi.org/10.1109/icpr.2004.1334464openalex-snapshot

Object recognition using segmentation for feature detection

inferredcites →https://doi.org/10.1109/proc.1979.11309openalex-snapshot

Moment invariants

inferredcites →https://doi.org/10.1109/proc.1979.11328openalex-snapshot

Statistical and structural approaches to texture

inferredcites →https://doi.org/10.1109/tpami.2002.1023800openalex-snapshot

Blobworld: image segmentation using expectation-maximization and its application to image querying

inferredcites →https://doi.org/10.5244/c.2.23openalex-snapshot

A Combined Corner and Edge Detector

What points at this work

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Incremental learning of object detectors using a visual shape alphabet

inferred← citeshttps://doi.org/10.1109/cvpr.2006.27openalex-snapshot

A Generative-Discriminative Hybrid Method for Multi-View Object Detection

inferred← citeshttps://doi.org/10.1109/cvpr.2006.288openalex-snapshot

Spatial Weighting for Bag-of-Features

inferred← citeshttps://doi.org/10.1109/cvpr.2007.383085openalex-snapshot

Accurate Object Localization with Shape Masks

inferred← citeshttps://doi.org/10.1109/cvpr.2007.383091openalex-snapshot

Beyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features

inferred← citeshttps://doi.org/10.1109/cvpr.2007.383136openalex-snapshot

Incorporating On-demand Stereo for Real Time Recognition

inferred← citeshttps://doi.org/10.1109/cvpr.2007.383371openalex-snapshot

Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models

inferred← citeshttps://doi.org/10.1109/cvpr.2007.383483openalex-snapshot

Kernel Sharing With Joint Boosting For Multi-Class Concept Detection

inferred← citeshttps://doi.org/10.1109/cvpr.2008.4587527openalex-snapshot

Recognizing human actions using multiple features

inferred← citeshttps://doi.org/10.1109/cvpr.2008.4587601openalex-snapshot

Loose shape model for discriminative learning of object categories

inferred← citeshttps://doi.org/10.1109/cvpr.2009.5206734openalex-snapshot

Keypoint induced distance profiles for visual recognition

inferred← citeshttps://doi.org/10.1109/cvpr.2009.5206791openalex-snapshot

Efficient Kernels for identifying unbounded-order spatial features

inferred← citeshttps://doi.org/10.1109/cvpr.2010.5539918openalex-snapshot

Learning weights for codebook in image classification and retrieval

inferred← citeshttps://doi.org/10.1109/cvpr.2010.5539964openalex-snapshot

Classification and clustering via dictionary learning with structured incoherence and shared features

inferred← citeshttps://doi.org/10.1109/cvpr.2010.5540098openalex-snapshot

Fast and robust object segmentation with the Integral Linear Classifier

inferred← citeshttps://doi.org/10.1109/cvpr.2011.5995628openalex-snapshot

A generalized probabilistic framework for compact codebook creation

inferred← citeshttps://doi.org/10.1109/cvpr.2012.6247721openalex-snapshot

Figure-ground segmentation by transferring window masks

inferred← citeshttps://doi.org/10.1109/cvpr.2012.6247940openalex-snapshot

Top-down visual saliency via joint CRF and dictionary learning

inferred← citeshttps://doi.org/10.1109/cvpr.2016.244openalex-snapshot

iLab-20M: A Large-Scale Controlled Object Dataset to Investigate Deep Learning

inferred← citeshttps://doi.org/10.1109/cvpr.2016.328openalex-snapshot

BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition

inferred← citeshttps://doi.org/10.1109/cvpr.2016.570openalex-snapshot

Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency

inferred← citeshttps://doi.org/10.1109/cvpr.2016.579openalex-snapshot

Min Norm Point Algorithm for Higher Order MRF-MAP Inference

inferred← citeshttps://doi.org/10.1109/cvpr.2018.00189openalex-snapshot

SeedNet: Automatic Seed Generation with Deep Reinforcement Learning for Robust Interactive Segmentation

inferred← citeshttps://doi.org/10.1109/cvprw.2008.4563141openalex-snapshot

Boosting descriptors condensed from video sequences for place recognition

inferred← citeshttps://doi.org/10.1109/cvprw.2012.6239242openalex-snapshot

Randomness and sparsity induced codebook learning with application to cancer image classification

inferred← citeshttps://doi.org/10.1109/dicta.2015.7371318openalex-snapshot

Unsupervised Processing of Vehicle Appearance for Automatic Understanding in Traffic Surveillance

inferred← citeshttps://doi.org/10.1109/eais.2018.8397187openalex-snapshot

Embedded vision system with hardware acceleration

inferred← citeshttps://doi.org/10.1109/ecai.2017.8166450openalex-snapshot

HOG algorithm simplification and its impact on FPGA implementation: With applications in car detection

inferred← citeshttps://doi.org/10.1109/icaccct.2012.6320728openalex-snapshot

General categorization of leaves using square patches in combination with SVM classifier

inferred← citeshttps://doi.org/10.1109/icaccct.2012.6320753openalex-snapshot

Weber Local Descriptor based object recognition

inferred← citeshttps://doi.org/10.1109/icarcv.2010.5707366openalex-snapshot

Large object detection in cluttered background using boosted Markov Chain Monte Carlo

inferred← citeshttps://doi.org/10.1109/icarcv.2014.7064450openalex-snapshot

Learning bag of visual words for motorbike detection

inferred← citeshttps://doi.org/10.1109/icassp.2008.4518056openalex-snapshot

Using densely recorded scenes for place recognition

inferred← citeshttps://doi.org/10.1109/iccv.2007.4408859openalex-snapshot

Proximity Distribution Kernels for Geometric Context in Category Recognition

inferred← citeshttps://doi.org/10.1109/iccv.2007.4408906openalex-snapshot

Efficient Mining of Frequent and Distinctive Feature Configurations

inferred← citeshttps://doi.org/10.1109/iccv.2011.6126332openalex-snapshot

Learning a mixture of sparse distance metrics for classification and dimensionality reduction

inferred← citeshttps://doi.org/10.1109/iccv.2011.6126335openalex-snapshot

Tasting families of features for image classification

inferred← citeshttps://doi.org/10.1109/iccv.2011.6126425openalex-snapshot

Compact correlation coding for visual object categorization

inferred← citeshttps://doi.org/10.1109/iccv.2013.111openalex-snapshot

Exemplar Cut

inferred← citeshttps://doi.org/10.1109/iccv.2015.274openalex-snapshot

Real-Time Pose Estimation Piggybacked on Object Detection

inferred← citeshttps://doi.org/10.1109/iccvw.2009.5457703openalex-snapshot

Visual category recognition using Spectral Regression and Kernel Discriminant Analysis

inferred← citeshttps://doi.org/10.1109/icdm.2012.37openalex-snapshot

Towards Automatic Image Understanding and Mining via Social Curation

inferred← citeshttps://doi.org/10.1109/icdma.2011.133openalex-snapshot

Extracting Visual Saliency Based on Multi-scale Receptive Field Template

inferred← citeshttps://doi.org/10.1109/icess.symposia.2008.33openalex-snapshot

Frequency and Space Domain Features for Image Classification Using Gaussian Mixture Models

inferred← citeshttps://doi.org/10.1109/icici-bme.2011.6108645openalex-snapshot

Feature selection via dimensionality reduction for object class recognition

inferred← citeshttps://doi.org/10.1109/icics.2009.5397713openalex-snapshot

A multi-scale learning approach for landmark recognition using mobile devices

inferred← citeshttps://doi.org/10.1109/icip.2010.5649943openalex-snapshot

Removal of false positive in object detection with contour-based classifiers

inferred← citeshttps://doi.org/10.1109/icip.2010.5653990openalex-snapshot

Learning image similarities via Probabilistic Feature Matching

inferred← citeshttps://doi.org/10.1109/icip.2013.6738035openalex-snapshot

Discriminative dictionary learning with spatial priors

inferred← citeshttps://doi.org/10.1109/icip.2013.6738645openalex-snapshot

Mining heterogeneous class-specific codebook for categorical object detection and classification

inferred← citeshttps://doi.org/10.1109/icip.2014.7026082openalex-snapshot

Multiple parenting identification in image phylogeny

inferred← citeshttps://doi.org/10.1109/icip.2014.7026192openalex-snapshot

Hierarchy of visual features for object recognition

inferred← citeshttps://doi.org/10.1109/icip.2015.7351010openalex-snapshot

Local feature embedding for supervised image classification

inferred← citeshttps://doi.org/10.1109/icip.2015.7351692openalex-snapshot

CANNET: Context aware nonlocal convolutional networks for semantic image segmentation

inferred← citeshttps://doi.org/10.1109/icis.2015.7166590openalex-snapshot

Automated generation of hierarchic image database with hybrid method of ontology and GMM-based image clustering

inferred← citeshttps://doi.org/10.1109/icma.2007.4303724openalex-snapshot

Enhanced Gaussian Mixture Models for Object Recognition Using Salient Image Features

inferred← citeshttps://doi.org/10.1109/icpr.2008.4761163openalex-snapshot

Understanding visual dictionaries via Maximum Mutual Information curves

inferred← citeshttps://doi.org/10.1109/icpr.2008.4761769openalex-snapshot

Learning visual dictionaries and decision lists for object recognition

inferred← citeshttps://doi.org/10.1109/icpr.2010.119openalex-snapshot

Object Recognition and Localization Via Spatial Instance Embedding

inferred← citeshttps://doi.org/10.1109/icpr.2010.718openalex-snapshot

Learning the Kernel Combination for Object Categorization

inferred← citeshttps://doi.org/10.1109/icpr.2014.617openalex-snapshot

Label Consistent Fisher Vectors for Supervised Feature Aggregation

inferred← citeshttps://doi.org/10.1109/icra.2014.6907696openalex-snapshot

Learning relational object categories using behavioral exploration and multimodal perception

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Ensemble for high recognition performance FPGA

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Generation of Stratified Image Database with Web Image Sharing Service and Ontology

inferred← citeshttps://doi.org/10.1109/iih-msp.2008.76openalex-snapshot

Combination of Wavelet snd SIFT Features for Image Classification Using Trained Gaussion Mixture Model

inferred← citeshttps://doi.org/10.1109/ijcnn.2009.5178674openalex-snapshot

A binary classification and online vision

inferred← citeshttps://doi.org/10.1109/indin.2009.5195824openalex-snapshot

Random forest-LNS architecture and vision

inferred← citeshttps://doi.org/10.1109/iros.2006.281793openalex-snapshot

Visual Object Recognition in Diverse Scenes with Multiple Instance Learning

inferred← citeshttps://doi.org/10.1109/isbi.2009.5193306openalex-snapshot

Learning disease severity for capsule endoscopy images

inferred← citeshttps://doi.org/10.1109/isie.2017.8001457openalex-snapshot

Parameter selection for efficient HOG-based car detection

inferred← citeshttps://doi.org/10.1109/ist.2011.5962197openalex-snapshot

Object class recognition using combination of color SIFT descriptors

inferred← citeshttps://doi.org/10.1109/isvlsi.2013.6654636openalex-snapshot

Saliency-driven dynamic configuration of HMAX for energy-efficient multi-object recognition

inferred← citeshttps://doi.org/10.1109/ivs.2009.5164310openalex-snapshot

Visual object categorization with new keypoint-based adaBoost features

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