IEEE

Point-Based Learnable Query Generator for Human–Object Interaction Detection

Abstract: Transformer-based and interaction point-based methods have demonstrated promising performance and potential in human-object interaction detection. However, due to differences in structure ...
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

PPF-Det: Point-Pixel Fusion for Multi-Modal 3D Object Detection

Abstract: Multi-modal fusion can take advantage of the LiDAR and camera to boost the robustness and performance of 3D object detection. However, there are still of great challenges to comprehensively ...
IEEE

Point Cloud-Based 3D Object Classification With Non Local Attention and Lightweight Convolution Neural Networks

Abstract: Three-dimensional (3D) object classification is crucial in various applications, including autonomous driving, robotics, and augmented reality, where precise detection of objects in 3D space ...
IEEE

3D Point Cloud Object Detection on Edge Devices for Split Computing

Abstract: The field of autonomous driving technology is rapidly advancing, with deep learning being a key component. Particularly in the field of sensing, 3D point cloud data collected by LiDAR is ...
India Today on MSNOpinion

Why it's time to retire pen-and-paper programming exams

India's computer science exams still rely on outdated pen-and-paper methods. This disconnect harms student learning and ...
IEEE

PointNet++SAKS: A Point Cloud Model Based on KANs and Attention Mechanism for Objects Classification and Semantic Segmentation

Abstract: Traditional point clouds models based on multilayer perceptrons (MLPs) lack inherent support for spatial data structures and fail to effectively process spatial relationships. To address ...
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

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

Point2RBox: Combine Knowledge from Synthetic Visual Patterns for End-to-End Oriented Object Detection with Single Point Supervision

Abstract: With the rapidly increasing demand for oriented object detection (OOD), recent research involving weakly-supervised detectors for learning rotated box (RBox) from the horizontal box (HBox) ...
IEEE

Centric Probability-Based Sample Selection for Oriented Object Detection

Abstract: In object detection, particularly within remote sensing images, the quality of selected samples is crucial for the accuracy and robustness of detection models. However, current sampling ...
GitHub

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple ...

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