Articles with "open world" as a keyword



Veri-Car: towards open-world vehicle information retrieval

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Published in 2024 at "Neural Computing and Applications"

DOI: 10.1007/s00521-025-11257-8

Abstract: Many industrial and service sectors require tools to extract vehicle characteristics from images. This is a complex task not only by the variety of noise, and large number of classes, but also by the constant… read more here.

Keywords: vehicle; car; open world; information retrieval ... See more keywords

An Open-World, Diverse, Cross-Spatial-Temporal Benchmark for Dynamic Wild Person Re-Identification

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Published in 2024 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-024-02057-z

Abstract: Person re-identification (ReID) has made great strides thanks to the data-driven deep learning techniques. However, the existing benchmark datasets lack diversity, and models trained on these data cannot generalize well to dynamic wild scenarios. To… read more here.

Keywords: person identification; world; dynamic wild; open world ... See more keywords

Lidar Panoptic Segmentation in an Open World

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Published in 2024 at "International Journal of Computer Vision"

DOI: 10.1007/s11263-024-02166-9

Abstract: Addressing Lidar Panoptic Segmentation (LPS) is crucial for safe deployment of autnomous vehicles. LPS aims to recognize and segment lidar points w.r.t. a pre-defined vocabulary of semantic classes, including thing classes of countable objects (e.g.,… read more here.

Keywords: segmentation; class; panoptic segmentation; lidar panoptic ... See more keywords

Introduction: identity in an open world order

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Published in 2022 at "Contemporary Social Science"

DOI: 10.1080/21582041.2022.2030492

Abstract: ABSTRACT This study is a brief introduction to the themed issue titled Identity In An Open World Order, for which we are guest editors. With this introduction, we intend to review each paper of the… read more here.

Keywords: identity; world order; identity open; open world ... See more keywords
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Being open to the world

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Published in 2018 at "HAU: Journal of Ethnographic Theory"

DOI: 10.1086/698271

Abstract: As the Czech phenomenologist Jan Patočka poetically phrased it, human beings are “beings of the far reaches.” Our human condition is, in other words, conditioned by the existential fact that we are beings who are… read more here.

Keywords: open world; world;

Open-World Person Re-Identification With RGBD Camera in Top-View Configuration for Retail Applications

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Published in 2020 at "IEEE Access"

DOI: 10.1109/access.2020.2985985

Abstract: Person re-identification (re-ID) is currently a notably topic in the computer vision and pattern recognition communities. However, most of the existing works on re-ID have been designed for closed world scenarios, rather than more realistic… read more here.

Keywords: person; world; open world; identification ... See more keywords

Efficient Region of Interest Based Metric Learning for Effective Open World Deep Face Recognition Applications

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3192520

Abstract: Face Recognition (FR) has recently gained traction as a widely used biometric for security-based applications such as facial recognition payment. The widespread use is due to improvements in deep convolutional neural networks (CNN) and large… read more here.

Keywords: open world; metric learning; face recognition; world ... See more keywords

Toward Open-World Multimedia Forensics Through Media Signature Encoding

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Published in 2024 at "IEEE Access"

DOI: 10.1109/access.2024.3391809

Abstract: Countering image and video manipulations is getting more and more relevant in several fields such as investigation, intelligence and forensics. Multimedia forensics researchers keep developing new tools and updating available detectors to discriminate the processing… read more here.

Keywords: world; signature encoding; open world; multimedia forensics ... See more keywords

OWNER — Toward Unsupervised Open-World Named Entity Recognition

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Published in 2025 at "IEEE Access"

DOI: 10.1109/access.2025.3552122

Abstract: Named Entity Recognition (NER) is a crucial task in Natural Language Processing (NLP), traditionally addressed through supervised learning, which requires extensive annotated corpora. This requirement poses challenges, particularly in specialized domains with limited labeled data.… read more here.

Keywords: entity types; owner; entity; language ... See more keywords

Sliding Window Optimal Transport for Open World Artifact Detection in Histopathology

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Published in 2024 at "IEEE Journal of Biomedical and Health Informatics"

DOI: 10.1109/jbhi.2024.3383590

Abstract: Histological images are frequently impaired by local artifacts from scanner malfunctions or iatrogenic processes – caused by preparation – impacting the performance of Deep Learning models. Models often struggle with the slightest out-of-distribution shifts, resulting… read more here.

Keywords: detection; distribution; histopathology; optimal transport ... See more keywords
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Training SAR-ATR Models for Reliable Operation in Open-World Environments

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Published in 2021 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"

DOI: 10.1109/jstars.2021.3068944

Abstract: Training deep learning-based synthetic aperture radar automatic target recognition (SAR-ATR) systems for use in an “open-world” operating environment has, thus far proven difficult. Most SAR-ATR systems are designed to achieve maximum accuracy for a limited… read more here.

Keywords: training; sar atr; detection; open world ... See more keywords