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

Point2RBox-v2: Rethinking Point-supervised Oriented Object Detection with Spatial Layout Among Instances

Abstract: With the rapidly increasing demand for oriented object detection (OOD), recent research involving weakly-supervised detectors for learning OOD from point annotations has gained great ...
IEEE

High-Quality Angle Prediction for Oriented Object Detection in Remote Sensing Images

Abstract: Oriented object detection is a challenging task in remote sensing, where the detected objects can be represented by oriented bounding boxes (OBBs). Angle prediction in oriented object ...
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 ...
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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

EMO2-DETR: Efficient-Matching Oriented Object Detection With Transformers

Abstract: Object detection in remote sensing is a challenging task due to the arbitrary orientations of objects and the vast variation in the number of objects within a single image. For instance, one ...
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

Learning Orientation-Aware Distances for Oriented Object Detection

Abstract: Oriented object detectors have suffered severely from the discontinuous boundary problem for a long time. In this work, we ingeniously avoid this problem by relating regression outputs to ...
IEEE

Optimized Point Set Representation for Oriented Object Detection in Remote-Sensing Images

Abstract: How to represent the object more appropriately in oriented object detection is an essential problem to be solved, because there are many solutions for the object represented. It is a ...