Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...
AZoRobotics on MSN
AI System Developed at NYU Tandon Can Spot Fires in Seconds Using Ordinary Security Cameras
This innovative AI fire detection system leverages existing CCTV cameras, analyzing video feeds to spot fires quickly and ...
Abstract: Large-scale high-resolution remote sensing images (LSHR) are increasingly adopted for object detection, since they capture finer details. However, LSHR imposes a substantial computational ...
Abstract: Domain adaptive object detection methods for remote sensing images (RSIs) typically rely on large-scale target-domain data and multiepoch offline adaption training. However, the wide ...
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 ...
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 ...
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