Remote sensing object detection is a rapidly growing field in artificial intelligence, playing a critical role in advancing ...
Researchers at Osaka Metropolitan University have developed SORA-DET, a lightweight and high-performance deep learning model for UAV-based remote ...
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 ...
Abstract: In this article, we focus on the problem of product defect detection (PDD) in air conditioner (AC) manufacturing. The challenges are twofold: first, the scale of the objects undergoes ...
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 ...
World's largest digital camera likely to discover interstellar objects, millions of asteroids The Vera C. Rubin Observatory in Chile is set to begin its biggest undertaking this fall, with the Legacy ...
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