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Even when we clean, because of laziness or lack of time, we often throw all waste into the same bin without separating ...

This important work introduces an integrated open-source platform for behavioral acquisition and pose estimation that substantially improves the accessibility and speed of real-time animal tracking ...

Version 5.0 Modernizes DNN Engine, Adds LLM/VLM Support, and Enhances Core, Hardware Acceleration, and 3D Stack.

The protection dog specialists at DARKDYNASTYK9S document a trained dog demonstrating underwater object detection and retrieval abilities. Coffee found to have startling effect on aging, says new ...

Discover the top 12 tools in 2026, from Cursor to Copilot, to speed up daily dev workflows and build apps faster!

Abstract: Uncrewed aerial vehicle (UAV) aerial visible–infrared [RGB-thermal (RGBT)] object detection has been widely applied in fields such as military operations and rescue missions. However, ...

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, ...

The Ukrainian-Estonian company Farsight Vision has presented a major update to its neural network model for automated image analysis. The company told this to Militarnyi. The key feature of the new ...

Oriented object detection in remote sensing imagery has emerged as a critical field of study, addressing the challenge of recognising and localising objects that appear at arbitrary angles in aerial ...

GitHub is adopting AI-based scanning for its Code Security tool to expand vulnerability detections beyond the CodeQL static analysis and cover more languages and frameworks. The developer ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...