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, ...

This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Abstract: Camouflaged object detection (COD) is challenging for both human and computer vision, as targets often blend into the background by sharing similar color, texture, or shape. While many ...

Build practical Edge AI applications with Raspberry Pi, from basic concepts to object detection and robotics, using the AI ...

This study provides an important and biologically plausible account of how human perceptual judgments of heading direction are influenced by a specific pattern of motion in optic flow fields known as ...

In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.

The Chrome and Edge browsers have built-in APIs for language detection, translation, summarization, and more, using locally ...

FEATURE Two supply chain attacks in March infected open source tools with malware and used this access to steal secrets from ...

The year opened without a reset. The same pressure carried over, and in some places it tightened. Systems people assume are boring or stable are showing up in the wrong places. Attacks moved quietly, ...

Hackers Are Using Claude Code Leak As Bait to Spread Malware With Anthropic rushing to wipe out the Claude Code leak, hackers are posting malware-laden files on GitHub that they claim are special, ...