techtimes

Black Hole Discovery in Astrophysics and How Scientists Detect Invisible Cosmic Objects

Explore black hole discovery in astrophysics, from hidden stellar remnants to supermassive giants, and learn how scientists detect these invisible cosmic objects using light and gravitational waves.
CNN

Webb telescope photos show mysterious little red dots. Astronomers don’t know what they are

Like tiny photobombers, cosmic anomalies resembling small, bright red points show up in almost every snapshot taken by the most powerful space telescope ever made. Astronomers now call them little red ...
Hosted on MSN

What happens when you metal detect underwater with crocodiles and a python?

We ventured into dangerous waters for some underwater metal detecting, but what we didn’t expect was to be surrounded by crocodiles and a massive python. This video takes you into the wild, where we ...
IEEE

RFHA-YOLO: Dynamic Receptive Field and Adaptive Hybrid Attention for Small-Object Detection in Remote Sensing Images

Abstract: Small object detection in remote sensing images remains challenging due to limited feature resolution and complex backgrounds. Conventional detectors, due to fixed receptive fields and ...
IEEE

YOLOv8-SCS: Improved Object Detection for Autonomous Driving Under Adverse Weather Conditions

Abstract: Adverse weather conditions significantly impact the performance of autonomous driving object detection systems, leading to reduced detection accuracy and an increased false detection rate.
IEEE

Multi-Scale Oriented Object Detection With Focus Error Ellipse Loss

Abstract: The loss function and feature extraction framework are essential parts of the algorithm design and significantly affect the accuracy of oriented object detection in remote sensing images.
IEEE

Multilayer Feature Extraction Object Detection Based on Deep Forest

Abstract: With the emergence of various large-scale deep-learning models, in remote sensing images, the object detection effect is also plagued by complex calculations, high costs, and high ...
IEEE

A Cross-Modality Feature Adaptive Interaction Approach for RGB-Infrared Object Detection in Aerial Imagery

Abstract: Object detection in aerial imagery, particularly from unmanned aerial vehicles (UAVs) and remote sensing platforms, is crucial but faces significant challenges such as modality misalignment, ...
IEEE

CNN-LiDAR-SLAM: Multimodal Fusion With Object Detection for Indoor Localization

Simultaneous localization and mapping (SLAM) in indoor environments remains a critical challenge, especially in GPS-denied areas where real-time Performance, low cost, and robustness are required.
IEEE

Salient Object Detection of Dynamic Night Scenes via Bio-Inspired Spotlight Attention and Hierarchical Edge-Texture Fusion

Abstract: The perception of night scenes is of crucial importance for driving safety. In the dimly lit night environment, as the visibility of objects decreases, both experienced and inexperienced ...
IEEE

Adaptive Grid Selection Training Strategy for Tiny Object Detection

Abstract: Detecting small objects and managing occlusions remain persistent challenges in object detection tasks, particularly in complex scenarios with diverse environments or densely packed scenes.