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07/12/2023
Single Domain Generalization via Normalised Cross-correlation Based Convolutions
Deep learning techniques often perform poorly in the presence of domain ...
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10/24/2022
IT-RUDA: Information Theory Assisted Robust Unsupervised Domain Adaptation
Distribution shift between train (source) and test (target) datasets is ...
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04/19/2022
Interaction-Aware Labeled Multi-Bernoulli Filter
Tracking multiple objects through time is an important part of an intell...
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01/06/2022
ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks
State-of-the-art stereo matching networks trained only on synthetic data...
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12/02/2021
Maximum Consensus by Weighted Influences of Monotone Boolean Functions
Robust model fitting is a fundamental problem in computer vision: used t...
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08/27/2021
Anomaly Detection of Defect using Energy of Point Pattern Features within Random Finite Set Framework
In this paper, we propose an efficient approach for industrial defect de...
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06/15/2021
Achieving Domain Robustness in Stereo Matching Networks by Removing Shortcut Learning
Learning-based stereo matching and depth estimation networks currently e...
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03/06/2021
Consensus Maximisation Using Influences of Monotone Boolean Functions
Consensus maximisation (MaxCon), which is widely used for robust fitting...
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02/03/2021
Evaluation of Point Pattern Features for Anomaly Detection of Defect within Random Finite Set Framework
Defect detection in the manufacturing industry is of utmost importance f...
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10/14/2020
Rotation Averaging with Attention Graph Neural Networks
In this paper we propose a real-time and robust solution to large-scale ...
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09/10/2020
Long Range Stereo Matching by Learning Depth and Disparity
Stereo matching generally involves computation of pixel correspondences ...
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09/02/2020
Robust Object Classification Approach using Spherical Harmonics
In this paper, we present a robust spherical harmonics approach for the ...
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07/03/2020
Multiple Instance-Based Video Anomaly Detection using Deep Temporal Encoding-Decoding
In this paper, we propose a weakly supervised deep temporal encoding-dec...
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05/11/2020
Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon
This paper outlines connections between Monotone Boolean Functions, LP-T...
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05/26/2017
Effective Sampling: Fast Segmentation Using Robust Geometric Model Fitting
Identifying the underlying models in a set of data points contaminated b...
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04/20/2016