neural

New AI research proposes VanillaNet: a new neural network architecture that emphasizes elegance and simplicity of design while maintaining remarkable performance in computer vision tasks

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https://arxiv.org/abs/2305.12972 Artificial neural networks have advanced significantly in recent decades, driven by the idea that greater network complexity translates into better performance. These networks can perform a variety of human-like tasks, including facial recognition, speech recognition, object identification, natural language processing, and content synthesis, which include several layers and many neurons or processing blocks. Modern … Read more

Researchers from ETH Zurich and Microsoft present LightGlue: a deep neural network that learns to match local features in images

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https://github.com/cvg/LightGlue Matching corresponding points between images is critical for many computer vision applications, such as camera tracking and 3D mapping. The conventional approach is to use scattered points of interest and high-dimensional representations to match them based on their visual appearance. However, accurately describing each problem becomes difficult in scenarios with symmetry, weak textures, or … Read more