Spread the love“`html Understanding how to create a neural network can be a game-changer in the fields of artificial intelligence and machine learning. As industries increasingly rely on data-driven ...
This REPO demonstrates an unofficial simplified implementation of SIGGRAPH 2025 Best Paper Nominate CAST: Component-Aligned 3D Scene Reconstruction from an RGB Image. The pipeline is modular and can ...
Abstract: This paper proposes a multi-UAV path planning method based on an improved Hummingbird Algorithm (AHA). To address the original AHA’s tendency to become trapped in local optima and its slow ...
Abstract: Nonconvex finite-sum optimization finds wide applications in various signal processing and machine learning tasks. The well-known stochastic gradient algorithms generate unbiased stochastic ...
* Equal contribution. † Co-corresponding author. Each image is paired with one or more text instances with polygon-level annotations. The dataset follows a consistent annotation format, detailed in ...
We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors ...
Poor generalizability continues to hinder mapping brain activity to behavior using human neuroimaging data. A potential solution is predictive modeling, which evaluates generalizability in unseen data ...
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