Abstract: Latency-sensitive edge video analytics applications require rapid responses for real-time decision-making, driving the demand for efficient object detection pipelines. Conventional pipelines ...
Introduction: The intelligent detection and counting of maize seedlings constitute crucial components in future smart maize cultivation and breeding. However, the detection of maize seedlings in field ...
Abstract: Effective detection and classification of forest fire imagery are critical for timely and efficient wildfire management. Convolutional Neural Networks (CNNs) have demonstrated potential in ...
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NVIDIA introduces NV-Tesseract-AD, a sophisticated model enhancing anomaly detection through diffusion modeling, curriculum learning, and adaptive thresholds, aiming to tackle complex industrial ...