Region-Based Object Detection Methods

This cluster focuses on techniques for detecting and recognizing objects within images using region-based approaches. It includes research on hard example mining, sparse representations, and kernel methods to improve classification accuracy.

object detection
recognition
region-based
hard example mining
sparse representation
image features

2,356 papers

Parent topic: Computer Vision Detection Techniques

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Papers Over Time

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Top Papers

Training Region-Based Object Detectors With Online Hard Example Mining

2016 · 1,562 citations

Sparse Representation For Computer Vision And Pattern Recognition

2010 · 1,435 citations

The Pyramid Match Kernel: Discriminative Classification With Sets Of Image Features

2005 · 976 citations

Learning Temporal Regularity In Video Sequences

2016 · 918 citations

Pedestrian Detection Via Classification On Riemannian Manifolds

2008 · 808 citations

Region Covariance: A Fast Descriptor For Detection And Classification

2006 · 549 citations

Moving Object Detection By Detecting Contiguous Outliers In The Low-Rank Representation

2013 · 539 citations

Discriminative Learning And Recognition Of Image Set Classes Using Canonical Correlations

2007 · 504 citations

Graph Learning For Multiview Clustering

2018 · 369 citations

Detecting Pedestrians By Learning Shapelet Features

2007 · 367 citations

Self-weighted Multiview Clustering With Multiple Graphs

2017 · 347 citations

Robust Multi-View Spectral Clustering Via Low-Rank And Sparse Decomposition

2014 · 346 citations

Mining Point Cloud Local Structures By Kernel Correlation And Graph Pooling

2018 · 343 citations

Learning Deep Representations Of Appearance And Motion For Anomalous Event Detection

2015 · 322 citations

Pedestrian Attribute Recognition At Far Distance

2014 · 300 citations

Learning Discriminative Appearance-Based Models Using Partial Least Squares

2009 · 260 citations

See All By Looking At A Few: Sparse Modeling For Finding Representative Objects

2012 · 260 citations

Patch-NetVLAD: Multi-Scale Fusion Of Locally-Global Descriptors For Place Recognition

2021 · 255 citations

Multiclass Object Recognition With Sparse, Localized Features

0 · 254 citations

Incomplete Multiview Spectral Clustering With Adaptive Graph Learning

2020 · 252 citations