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This figure illustrates the difference between digital ... of deep-neural-network (DNN)-based models used for object detection and image classification in RS images. To address this issue, a ...
SATIM's OREC AI solution, utilizing Capella’s SAR data, offers precise detection and classification of vessels, aircraft, and ground targets in overhead SAR images. From colossal container ships ...
Object detection models are much more complex than image classification networks and ... By finding the right tradeoff between accuracy, speed, and memory, you can shrink your deep learning ...
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Symmetry-Breaking Detection Enhances Object RecognitionThe proposed method enhanced object detection and image classification by adapting to ... excelling in the trade-off between efficiency and accuracy. Further, the model's performance on rotated ...
Some of the most common applications of machine learning in computer vision include image classification, object detection, and segmentation. Image classification determines whether a certain type ...
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AI models for remote object detection are vulnerable to both physical and digital attacks, research finds"We sought to address the lack of comprehensive studies on the robustness of deep learning models used in remote sensing tasks, particularly focusing on image classification and object detection.
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