Free courses to learn Python from IIT Bombay, Google, MIT & more

In this article, we will be sharing some free Python programming courses offered by SWAYAM, MIT and Google that can be great ...
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 ...
IEEE

MGNet: A Remote Sensing Oriented Object Detector Based on Multicascaded Feature Selection and Geometric Constraints

Abstract: High interclass similarity and diverse geometric configurations in high spatial resolution remote sensing images pose significant challenges for remote sensing object detection. To address ...
IEEE

Point-Based Weakly Semisupervised Oriented Vehicle Detection in Optical Remote Sensing Images

Abstract: Vehicle detection is vital for urban planning and traffic management. Optical remote sensing imagery, known for its high resolution and extensive coverage, is ideal for this task.
IEEE

Pre-pruned Distillation for Point Cloud-based 3D Object Detection

Abstract: Knowledge distillation has recently been proven to be effective for model compression and acceleration of point cloud-based 3D object detection. However, the complementary network pruning is ...

TIOBE Index for October 2025: Top 10 Most Popular Programming Languages

Python still leads despite a dip; C edges past C++ for #2; SQL re-enters the top 10 as Perl drops out after last month’s ...
IEEE

Integrating Scaling Strategy and Central Guided Voting for 3D Point Cloud Object Tracking

Abstract: LiDAR-based 3D single object tracking has received remarkable attention due to its crucial role in robotics and autonomous driving. Most of them are based on hierarchical feature structures ...
IEEE

Bi-Stream Knowledge Transfer for Semi-Supervised 3D Point Cloud Object Detection

Abstract: 3D point cloud object detection plays an important role in autonomous driving. However, labeling 3D object boxes is expensive and time-consuming, limiting the number of annotated point ...
IEEE

SV-RCNN: Robust Structural-Encoded Voxel Features for 3D Object Detection on Sparse Point Clouds

Abstract: 3D object detection in LiDAR point clouds faces significant challenges in sparse point clouds and unfamiliar environments. Existing methods often rely on simple multi-layer perceptrons or ...
IEEE

Task-Wise Sampling Convolutions for Arbitrary-Oriented Object Detection in Aerial Images

Abstract: Arbitrary-oriented object detection (AOOD) has been widely applied to locate and classify objects with diverse orientations in remote sensing images. However, the inconsistent features for ...
IEEE

Foreground Capture Feature Pyramid Network-Oriented Object Detection in Complex Backgrounds

Abstract: Feature pyramids are widely adopted in visual detection models for capturing multiscale features of objects. However, the utilization of feature pyramids in practical object detection tasks ...