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09/01/2023
A Theoretical and Practical Framework for Evaluating Uncertainty Calibration in Object Detection
The proliferation of Deep Neural Networks has resulted in machine learni...
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07/31/2023
Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches
Multispectral imagery is frequently incorporated into agricultural tasks...
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05/29/2023
TReR: A Lightweight Transformer Re-Ranking Approach for 3D LiDAR Place Recognition
Autonomous driving systems often require reliable loop closure detection...
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04/11/2023
Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks
With the rise of Deep Neural Networks, machine learning systems are nowa...
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09/09/2022
Survey on Deep Fuzzy Systems in regression applications: a view on interpretability
Regression problems have been more and more embraced by deep learning (D...
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07/18/2022
High-Order Conditional Mutual Information Maximization for dealing with High-Order Dependencies in Feature Selection
This paper presents a novel feature selection method based on the condit...
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02/16/2022
Reducing Overconfidence Predictions for Autonomous Driving Perception
In state-of-the-art deep learning for object recognition, SoftMax and Si...
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06/19/2021
Place recognition survey: An update on deep learning approaches
Autonomous Vehicles (AV) are becoming more capable of navigating in comp...
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06/17/2021
AttDLNet: Attention-based DL Network for 3D LiDAR Place Recognition
Deep networks have been progressively adapted to new sensor modalities, ...
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07/11/2020
Look and Listen: A Multi-modality Late Fusion Approach to Scene Classification for Autonomous Machines
The novelty of this study consists in a multi-modality approach to scene...
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07/01/2020