Abstract: Image recognition is typically a multi-feature decision problem. After performing certain preprocessing on images, various feature information is extracted to identify objects and scenes ...
AI coding assistants and agentic workflows represent the future of software development and will continue to evolve at a rapid pace. But while LLMs have become adept at generating functionally correct ...
Hierarchical Cross-Modal Image Generation for Multimodal Biometric Recognition With Missing Modality
Abstract: Multimodal biometric recognition has shown great potential in identity authentication tasks and has attracted increasing interest recently. Currently, most existing multimodal biometric ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models designed to process graph-structured data. Currently, GNNs are effective ...
Paper: Graph Representation of 3D CAD Models for Machining Feature Recognition With Deep Learning The MFCAD (Machining Feature CAD) dataset is a comprehensive collection of 3D CAD models with labeled ...
Cybersecurity researchers have disclosed details of a now-patched security flaw impacting Ask Gordon, an artificial intelligence (AI) assistant built into Docker Desktop and the Docker Command-Line ...
(2025-09-15) The inference code of A-FINE is intergrated into the excellent PyIQA codeframe. Please find the detailed usage here. (2025-04-14) We release the DiffIQA dataset. (2025-04-14) We release ...
Agents use facial recognition, social media monitoring and other tech tools not only to identify undocumented immigrants but also to track protesters, current and former officials said. By Sheera ...
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