InfoWorld

C# rises in Tiobe language popularity index

Microsoft’s fast-growing language for .NET may be poised to overtake Java in popularity for the first time, Tiobe said.
IEEE

ABFL: Angular Boundary Discontinuity Free Loss for Arbitrary Oriented Object Detection in Aerial Images

Abstract: Arbitrary oriented object detection (AOOD) in aerial images is a widely concerned and highly challenging task and plays an important role in many scenarios. The core of AOOD involves the ...
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 ...
Hosted on MSN

Crafting a Full Tang Clip Point Knife | Knife Making Tutorial

Watch the step-by-step creation of a full tang clip point knife featuring zebrawood scales and durable 1070 high carbon steel. ‘Not Constitutional’: Trump Threatens Blue Slip Suit Huda Beauty pulls ...
IEEE

ORENet: Oriented Rotation Equivariant Network for Remote Sensing Object Detection

Abstract: Current state-of-the-art methods use oriented bounding boxes (OBBs) instead of horizontal bounding boxes (HBBs) for oriented object detection in remote sensing images (RSIs). However, this ...
IEEE

Category-Oriented Localization Distillation for SAR Object Detection and a Unified Benchmark

Abstract: Despite much research progress in synthetic aperture radar (SAR) object detection, the performance of SAR object detection has encountered a bottleneck limited by the imaging mechanism of ...
IEEE

Oriented Object Detection via Associated Point in Optical Remote Sensing Imagery

Abstract: Oriented object detection in remote sensing images has attracted significant attention, as rotated bounding boxes can more accurately fit targets with arbitrary orientations. However, ...
IEEE

Probabilistic Intersection-Over-Union for Training and Evaluation of Oriented Object Detectors

Abstract: Oriented object detection is a challenging and relatively new problem. Most existing approaches are based on deep learning and explore Oriented Bounding Boxes (OBBs) to represent the objects ...
IEEE

Mining Oriented Information for Semi-Supervised Object Detection in Remote Sensing Images

Abstract: Traditional object detection requires extensive annotation, consuming considerable time and manpower. In recent years, semi-supervised object detection (SSOD) methods, which utilize a blend ...
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 ...
C&EN

Efficient, Hierarchical, and Object-Oriented Electronic Structure Interfaces for Direct Nonadiabatic Dynamics Simulations

Institute of Theoretical Chemistry, Faculty of Chemistry, University of Vienna, Währinger Straße 17, 1090 Vienna, Austria Vienna Doctoral School in Chemistry (DoSChem), University of Vienna, Währinger ...