Articles with "object level" as a keyword



The role of mathematical connections in object-level and meta-level learning: a potential lens for supporting pre-service teacher learning

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Published in 2024 at "Research in Mathematics Education"

DOI: 10.1080/14794802.2024.2371542

Abstract: ABSTRACT The importance of mathematical connections in teaching mathematics is broadly acknowledged in the literature. Nevertheless, more research is needed to clarify how different types of mathematical connections manifest in classroom interactions and how they… read more here.

Keywords: level meta; level learning; meta level; object level ... See more keywords

Cross-Dimensional Object-Level Matching Method for Buildings in Airborne Optical Image and LiDAR Point Cloud

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3144474

Abstract: In this letter, an object-level matching method was proposed to perform building matching in cross-dimensional remote-sensing data. Object-level matching of buildings is essential pre-work for 3-D shape reconstruction, to further generate productions, such as a… read more here.

Keywords: object level; lidar point; cross dimensional; level matching ... See more keywords

Object-Level Impedance Control for Dexterous In-Hand Manipulation

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Published in 2020 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2020.2974702

Abstract: This work presents a novel object-level control framework for the dexterous in-hand manipulation of objects with torque-controlled robotic hands. The proposed impedance-based controller realizes the compliant 6-DOF positioning of a grasped object. Enabled by the… read more here.

Keywords: control; hand; hand manipulation; object level ... See more keywords

SemanticLoop: Loop Closure With 3D Semantic Graph Matching

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Published in 2022 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2022.3229228

Abstract: Loop closure can effectively correct the accumulated error in robot localization, which plays a critical role in the long-term navigation of the robot. Traditional appearance-based methods rely on local features and are prone to failure… read more here.

Keywords: closure; graph matching; loop closure; object level ... See more keywords

GOReloc: Graph-Based Object-Level Relocalization for Visual SLAM

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Published in 2024 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2024.3442560

Abstract: This letter introduces a novel method for object-level relocalization of robotic systems. It determines the pose of a camera sensor by robustly associating the object detections in the current frame with 3D objects in a… read more here.

Keywords: goreloc graph; level relocalization; level; object level ... See more keywords

OpenObj: Open-Vocabulary Object-Level Neural Radiance Fields With Fine-Grained Understanding

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Published in 2024 at "IEEE Robotics and Automation Letters"

DOI: 10.1109/lra.2024.3511401

Abstract: In recent years, there has been a surge of interest in open-vocabulary 3D scene reconstruction facilitated by visual language models (VLMs), which showcase remarkable capabilities in open-set retrieval tasks. Although the semantic ambiguity of existing… read more here.

Keywords: open vocabulary; level neural; level; fine grained ... See more keywords

FINet: A Feature Interaction Network for SAR Ship Object-Level and Pixel-Level Detection

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Published in 2022 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2022.3222636

Abstract: Deep learning-based detection methods have achieved great success in ship target detection in synthetic aperture radar (SAR) images. However, due to the interference of imaging mechanism, speckle noise, and sea and land clutter, ship detection… read more here.

Keywords: object level; pixel level; level; detection ... See more keywords

Heterogeneous Object-Level Aircraft Change Detection via Cross-Modal Interaction and Imbalanced Learning

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Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"

DOI: 10.1109/tgrs.2024.3421581

Abstract: Heterogeneous object-level change detection (CD) aims to detect the state of the objects and whether they have changed from multitemporal multimodal data. In this article, a new cross-modality interactive change detector (CICD) is proposed for… read more here.

Keywords: change detection; heterogeneous object; object level; change ... See more keywords

Object-Level Attention Prediction for Drivers in the Information-Rich Traffic Environment

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Published in 2024 at "IEEE Transactions on Industrial Electronics"

DOI: 10.1109/tie.2023.3294547

Abstract: An object-level attention prediction framework for drivers in the urban environment with rich semantic and motion information is proposed in this article. The proposed framework is based on the visual working memory mechanism, which decomposes… read more here.

Keywords: information; attention; object level; prediction ... See more keywords

Image Alignment-Based Multi-Region Matching for Object-Level Tampering Detection

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Published in 2017 at "IEEE Transactions on Information Forensics and Security"

DOI: 10.1109/tifs.2016.2615272

Abstract: Tampering detection methods based on image hashing have been widely studied with continuous advancements. However, most existing models cannot generate object-level tampering localization results, because the forensic hashes attached to the image lack contour information.… read more here.

Keywords: object level; image; tampering detection; level tampering ... See more keywords

50 FPS Object-Level Saliency Detection via Maximally Stable Region

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Published in 2020 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2019.2941663

Abstract: The human visual system tends to consider saliency of an object as a whole. Some object-level saliency detection methods have been proposed by leveraging object proposals in bounding boxes, and regarding the entire bounding box… read more here.

Keywords: region; level saliency; object level; saliency ... See more keywords