IEEE

Joint Sparse Optical Flow Estimation and Keypoint Detection via Dual-task Imperative Learning

Abstract: Contemporary deep learning approaches for optical flow estimation continue to face persistent challenges in model interpretability, generalization capacity, and deployment efficiency, ...
IEEE

Multi-Agent Collaboration for Vehicular Task Offloading Using Federated Deep Reinforcement Learning

Abstract: Mobile Edge Computing (MEC) distributes resources such as computing, storage, and bandwidth to the side close to users, which can provide low-latency services to in-vehicle users, thus ...
Geeky Gadgets

What Google Flow Tools Can Actually Do Without Any Coding

Google Flow provides a structured way to manage workflows through natural language commands. It includes both ready-made configurations and customizable options that do not require coding expertise.
CalMatters

California admits using high-risk AI — including systems it failed to report last year

Every year, California agencies report to the state technology department on their use of "high-risk" decision systems. The seal of the State of California on the Edmund G. Brown Jr. State Office ...
GitHub

UFM: A Simple Path towards Unified Dense Correspondence with Flow

UFM (Unified Flow & Matching, UniFlowMatch) is a simple, end-to-end trained transformer model that directly regresses pixel displacement images (flow) and can be applied concurrently to both optical ...