Abstract: This paper introduces a novel Neural Architecture Search (NAS)-based framework for the automated detection of ultrasonic railway track defects. To facilitate model training, a ...
Classic fault detection and classification has some classic problems. It’s reactive, time-consuming to set up, and any product change involves significant man-hours. Even then, it still misses a lot ...
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 ...
Casting a diverse group of models for an Architectural photoshoot of a newly-built healthcare facility in Irvine, CA. Models will be posed as users and employees of the facility. The primary focus of ...
Abstract: Automatic surface defect detection is a critical technique for ensuring product quality in industrial casting production. While general object detection techniques have made remarkable ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Ramya Krishnamoorthy shares a detailed case ...
[2025-05-14 13:49:28] server_args=ServerArgs(model_path='/opt/context/llm_stack/models/Qwen/Qwen3-32B-Q6_K/Qwen3-32B-Q6_K.gguf', tokenizer_path='/opt/context/llm ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback