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Part-based models

Known as: Part based models 
Part-based models refers to a broad class of detection algorithms used on images, in which various parts of the image are used separately in order to… 
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Bag-of-words model in computer visionComputer visionConstellation modelMaxima and minima

Papers overview

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2019
2019
Part Matching with Multi-Level Attention for Person Re-Identification
  • Jiaze Wang
  • IEEE/CVF International Conference on Computer…
  • 2019
  • Corpus ID: 212645006
Person re-identification, which aims to match two instances across different cameras still remains challenging. One of the… 
2015
2015
Action Recognition Using Discriminative Structured Trajectory Groups
In this paper, we develop a novel framework for action recognition in videos. The framework is based on automatically learning… 
2012
2012
Intelligent Vehicle Detection and Tracking for Highway Driving
Due to the increment of vehicles, the traffic jamming in cities becomes a serious challenge and the safety of people is… 
2012
2012
Part-based pedestrian detection using HoG features and vertical symmetry
This paper describes a new approach for pedestrian detection in traffic scenes. The originality of the method resides in the… 
2011
2011
Hierarchical CRF with product label spaces for parts-based models
Non-rigid object detection is a challenging open research problem in computer vision. It is a critical part in many applications… 
2011
2011
A compositional approach to learning part-based models of objects
We propose a new method for learning probabilistic part-based models of objects using only a limited number of positive examples… 
2010
2010
Constructing part-based models for groupwise registration
We address the problem of building detailed models of the shape and appearance of complex structures, given only a training set… 
2008
2008
Exploiting Part-Based Models and Edge Boundaries for Object Detection
This paper explores how to exploit shape information to perform object class recognition. We use a sparse part-based model to… 
2007
2007
Qualitative part-based models in content-based image retrieval
A qualitative, volumetric part-based model is proposed to improve the categorical invariance and viewpoint invariance in content… 
2006
2006
Statistical part-based models: theory and applications in image similarity, object detection and region labeling
The automatic analysis and indexing of visual content in unconstrained domain are important and challenging problems for a… 
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