Attentive Object Detection Using an Information Theoretic Saliency Measure

No abstract is available for this paper.

• Publication year

  2004

• Venue

  Workshop on Attention and Performance in Computational Vision

• Publication date

  2004-05-15

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/978-3-540-30572-9_3
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Visual learning and recognition of 3-d objects from appearance

  2005cited by this paper
• Object recognition using local information content

  2004cited by this paper
• Object class recognition by unsupervised scale-invariant learning

  2003cited by this paper
• Context Based Object Detection from Video

  2003cited by this paper
• An Affine Invariant Interest Point Detector

  2002cited by this paper
• Discriminant feature extraction using empirical probability density estimation and a local basis library

  2002cited by this paper
• Saliency of Interest Points under Scale Changes

  2002cited by this paper
• Object Recognition using Local Affine Frames on Distinguished Regions

  2002cited by this paper
• Learning a Sparse Representation for Object Detection

  2002cited by this paper
• Saliency, Scale and Image Description

  2001cited by this paper
• Unsupervised Learning of Models for Recognition

  2000influential reference
• Object recognition from local scale-invariant features

  1999cited by this paper
• Visual Recognition Using Local Appearance

  1998cited by this paper
• Task-Dependent Learning of Attention

  1997cited by this paper
• Using Discriminant Eigenfeatures for Image Retrieval

  1996cited by this paper
• Saliency maps and attention selection in scale and spatial coordinates: an information theoretic approach

  1995cited by this paper
• C4.5: Programs for Machine Learning

  1992cited by this paper
• An Algorithm for Finding Best Matches in Logarithmic Expected Time

  1977cited by this paper
• Programs for Machine Learning. Part I

  1962cited by this paper
• On Estimation of a Probability Density Function and Mode

  1962cited by this paper

• An Information Theoretic Approach to Characterizing the Attention Shifts in the Fruit Fly During Flight

  2023cites this paper
• An information-theoretic approach to unsupervised keypoint representation learning

  2022cites this paper
• Entropy-driven Unsupervised Keypoint Representation Learning in Videos

  2022cites this paper
• Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

  2020cites this paper
• Learning World Graphs to Accelerate Hierarchical Reinforcement Learning

  2019cites this paper
• Attentive Systems: A Survey

  2017cites this paper
• Attention control learning in the decision space using state estimation

  2016cites this paper
• Exploiting inter-image similarity and ensemble of extreme learners for fixation prediction using deep features

  2016cites this paper
• Ship Detection Using Edge-Based Segmentation and Histogram of Oriented Gradient with Ship Size Ratio

  2015cites this paper
• Visual Saliency Detection Based on Color Contrast and Distribution

  2015cites this paper
• BASI: a new index to extract built-up areas from high-resolution remote sensing images by visual attention model

  2014cites this paper
• Visual saliency and eye movement : modeling and applications

  2014influential citation
• State-of-the-Art in Visual Attention Modeling

  2013cites this paper
• An Integrated System for 3D Gaze Recovery and Semantic Analysis of Human Attention

  2013cites this paper
• A Computer Vision System for Attention Mapping in SLAM based 3D Models

  2013cites this paper
• FACTS - A Computer Vision System for 3D Recovery and Semantic Mapping of Human Factors

  2013cites this paper
• Visual recovery of saliency maps from human attention in 3D environments

  2013cites this paper
• 3D recovery of human gaze in natural environments

  2013cites this paper
• Image Retrieval by Content Based on a Visual Attention Model and Genetic Algorithms

  2012cites this paper
• Global localization with non-quantized local image features

  2012cites this paper
• Visual Attention in Active Vision Systems : Attending, Classifying and Manipulating Objects

  2011cites this paper
• Scene classification with a sparse set of salient regions

  2011cites this paper
• Saliency of color image derivatives: a comparison between computational models and human perception.

  2010cites this paper
• Aspects of Visual Attention for Autonomous Mobile Robots

  2010cites this paper
• Autonomous Behavior-Based Switched Top-Down and Bottom-Up Visual Attention for Mobile Robots

  2010cites this paper
• Computational visual attention systems and their cognitive foundations: A survey

  2010cites this paper
• Comparing Learning Attention Control in Perceptual and Decision Space

  2009cites this paper
• Modeling Attention and Perceptual Grouping to Salient Objects

  2009cites this paper
• Learning sequential visual attention control through dynamic state space discretization

  2009cites this paper
• Interactive Learning of Top-down Attention Control and Motor Actions

  2008cites this paper
• Attentive Classification

  2008cites this paper
• FP 6-004381-MACS MACS Multi-sensory Autonomous Cognitive Systems Interacting with Dynamic Environments for Perceiving and Using Affordances

  2006cites this paper
• Sixth Framework Programme Priority 2 Information Society Technology Specific Targeted Research Project Strep Annex I – Description of Work Contents

  year unknowncites this paper
• University of Calgary the Proxemic Peddler Framework: Designing a Public Display That Captures and Preserves the Attention of a Passerby

  year unknowncites this paper