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IEEE14d
Learning Rotation-Invariant Convolutional Neural Networks for Object Detection in VHR Optical Remote Sensing Images - IEEE Xplore
Object detection in very high resolution optical remote sensing images is a fundamental problem faced for remote sensing image analysis. Due to the advances of powerful feature representations, ...
IEEE19d
GCSAR: Small-Object-Enhanced Detection Algorithm Based on Gradient Aggregation and Channel Enhancement for SAR Ship Detection - IEEE Xplore
High-resolution Synthetic Aperture Radar (SAR) utilizes pulse compression technology to accurately resolve the distance between targets and enable imaging,the application of detection algorithm in ...
Tech Xplore on MSN6d
Machine learning methods are best suited to catch liars, according to science of deception detection
Scientists have revealed that Convolutional Neural Networks (CNNs), a type of deep learning algorithm, demonstrate superior ...
CNN27d
Supreme Court backs Catholic Charities’ push to object to state taxes on religious grounds - CNN
The Supreme Court on Thursday cleared the way for a Catholic Charities chapter in Wisconsin to secure an exemption from certain state taxes in a decision that could expand the type of religious ...
Scientific Research Publishing2d
Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision ()
Binunya, F. and Zhou, H. (2025) Multilingual Text Recognition and Assistance for Low-Resource Languages Using Computer Vision. Open Access Library Journal, 12, 1-20. doi: 10.4236/oalib.1113574 .