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11/25/2022
Unsupervised Continual Semantic Adaptation through Neural Rendering
An increasing amount of applications rely on data-driven models that are...
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06/21/2022
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding
In order to operate in human environments, a robot's semantic perception...
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03/01/2022
Embodied Active Domain Adaptation for Semantic Segmentation via Informative Path Planning
This work presents an embodied agent that can adapt its semantic segment...
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01/22/2022
SL Sensor: An Open-Source, ROS-Based, Real-Time Structured Light Sensor for High Accuracy Construction Robotic Applications
High accuracy 3D surface information is required for many construction r...
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11/03/2021
Continual Learning of Semantic Segmentation using Complementary 2D-3D Data Representations
Semantic segmentation networks are usually pre-trained and not updated d...
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10/06/2021
See Yourself in Others: Attending Multiple Tasks for Own Failure Detection
Autonomous robots deal with unexpected scenarios in real environments. G...
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05/04/2021
Self-Improving Semantic Perception on a Construction Robot
We propose a novel robotic system that can improve its semantic percepti...
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04/30/2021
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation
State-of-the-art semantic or instance segmentation deep neural networks ...
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03/09/2021
Pixel-wise Anomaly Detection in Complex Driving Scenes
The inability of state-of-the-art semantic segmentation methods to detec...
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12/05/2020
Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space
The distribution of a neural network's latent representations has been s...
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06/09/2020
Precise Robot Localization in Architectural 3D Plans
This paper presents a localization system for mobile robots enabling pre...
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03/11/2020
Fast and Accurate Mapping for Autonomous Racing
This paper presents the perception, mapping, and planning pipeline imple...
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12/04/2019
A Fully-Integrated Sensing and Control System for High-Accuracy Mobile Robotic Building Construction
We present a fully-integrated sensing and control system which enables m...
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09/02/2019
This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity
There has been a remarkable progress in the accuracy of semantic segment...
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08/29/2019
Active Learning for UAV-based Semantic Mapping
Unmanned aerial vehicles combined with computer vision systems, such as ...
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08/01/2019
Learning Densities in Feature Space for Reliable Segmentation of Indoor Scenes
Deep learning has enabled remarkable advances in semantic segmentation a...
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04/05/2019
The Fishyscapes Benchmark: Measuring Blind Spots in Semantic Segmentation
Deep learning has enabled impressive progress in the accuracy of semanti...
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07/30/2018
