Tech Xplore

Lightweight framework enables faster, more accurate object detection for UAV remote sensing

Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
AlphaGalileo

Lightweight UAV object detection with reparameterized convolutions and shallow fusion networks

Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...
IEEE

ESPPNet: An Efficient Progressive Spatial Pyramid Pooling Network for Real-Time Traffic Object Detection

Abstract: Traffic object detection based on computer vision (CV) can usually be deployed on the embedded computing platform of autonomous vehicles or autonomous aerial vehicles (AAVs), to provide ...
GitHub

Calling MCP server tools with nested object params from Realtime API agents

The OpenAI Realtime API flattens tool arguments incorrectly, ignoring the provided JSON schema for nested objects. This causes tool calls to fail because the arguments don't match the expected ...
IEEE

Real-Time Embedded Object Detection System Design Based on Deep Neural Networks

Abstract: With the rapid development of the Internet of Things (IoT) and edge computing technologies, achieving high-accuracy real-time object detection on resource-constrained embedded devices has ...
GitHub

RF-DETR: SOTA Real-Time Object Detection Model

RF-DETR is a real-time, transformer-based object detection model architecture developed by Roboflow and released under the Apache 2.0 license. RF-DETR is the first real-time model to exceed 60 AP on ...