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How Trustworthy are the Existing Performance Evaluations for Basic Vision Tasks?
Performance evaluation is indispensable to the advancement of machine vi...
08/08/2020 ∙ by Hamid Rezatofighi, et al. ∙
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A Bayesian 3D Multi-view Multi-object Tracking Filter
This paper proposes an online multi-camera multi-object tracker that onl...
01/13/2020 ∙ by Jonah Ong, et al. ∙
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A Multi-Scan Labeled Random Finite Set Model for Multi-object State Estimation
State space models in which the system state is a finite set--called the...
05/25/2018 ∙ by Ba-Tuong Vo, et al. ∙
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A Solution for Large-scale Multi-object Tracking
A large-scale multi-object tracker based on the generalised labeled mult...
04/18/2018 ∙ by Michael Beard, et al. ∙
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Model-Based Multiple Instance Learning
While Multiple Instance (MI) data are point patterns -- sets or multi-se...
03/07/2017 ∙ by Ba-Ngu Vo, et al. ∙
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Clustering For Point Pattern Data
Clustering is one of the most common unsupervised learning tasks in mach...
02/08/2017 ∙ by Quang N. Tran, et al. ∙
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Model-based Classification and Novelty Detection For Point Pattern Data
Point patterns are sets or multi-sets of unordered elements that can be ...
01/30/2017 ∙ by Ba-Ngu Vo, et al. ∙
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Online Visual Multi-Object Tracking via Labeled Random Finite Set Filtering
This paper proposes an online visual multi-object tracking algorithm usi...
11/18/2016 ∙ by Du Yong Kim, et al. ∙
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Multi-Target Tracking with Time-Varying Clutter Rate and Detection Profile: Application to Time-lapse Cell Microscopy Sequences
Quantitative analysis of the dynamics of tiny cellular and sub-cellular ...
07/23/2015 ∙ by Seyed Hamid Rezatofighi, et al. ∙
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