IEEE

Oriented Object Detection for Remote Sensing Images via Object-Wise Rotation-Invariant Semantic Representation

Abstract: Oriented object detection (OOD) in remote sensing images (RSIs) remains a challenging work due to an arbitrary orientation of instances. Learning rotation-invariant features is critical in ...
IEEE

Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation

Abstract: We propose a novel method called SHS-Net for point cloud normal estimation by learning signed hyper surfaces, which can accurately predict normals with global consistent orientation from ...
IEEE

Oriented Object Detection via Contextual Dependence Mining and Penalty-Incentive Allocation

Abstract: Oriented object detection in aerial images has made significant advancements propelled by well-developed detection frameworks and diverse representation approaches to oriented bounding boxes ...
IEEE

Rendering-Oriented 3D Point Cloud Attribute Compression Using Sparse Tensor-Based Transformer

Abstract: The evolution of 3D visualization techniques has fundamentally transformed how we interact with digital content. At the forefront of this change is point cloud technology, offering an ...
IEEE

Oriented Vehicle Joint Detection and Tracking in Satellite Video via Identifier-free Point Supervision

Abstract: Oriented vehicle detection and tracking play a crucial role in various real-world applications. Yet, existing advanced models heavily rely on abundant and accurate oriented bounding box and ...
InfoQ

New Token-Oriented Object Notation (TOON) Hopes to Cut LLM Costs by Reducing Token Consumption

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
IEEE

OPODet: Toward Open World Potential Oriented Object Detection in Remote Sensing Images

Abstract: Despite recent advances in object detection, closed-set detectors with fixed training classes often overlook or misclassify unannotated objects during testing. To address this, open world ...
Morningstar

Americold's Depressed Valuation Provides Great Entry Point for Long-Term Oriented Investors

Americold Realty owns and operates cold storage warehouses that mainly store perishable food products but also other temperature-sensitive items like pharmaceuticals, florals, and chemicals. The ...
IEEE

Oriented Object Detection Based on Adaptive Feature Learning and Enrichment

Abstract: Oriented object detection has broad utilization in many fields, including urban traffic monitoring, land utilization assessment, and environmental monitoring. However, current oriented ...
IEEE

PMHO: Point-Supervised Oriented Object Detection Based on Segmentation-Driven Proposal Generation

Abstract: Oriented object detection has gained increasing attention due to its ability to detect objects with arbitrary orientations in the field of remote sensing (RS) images. However, the laborious ...
IEEE

FADL-Net: Frequency-Assisted Dynamic Learning Network for Oriented Object Detection in Remote Sensing Images

Abstract: In the field of Earth observation and computer vision, oriented object detection for remotesensing images is a crucial task that aims to locate objects more accurately in complex scenes ...