We present an unsupervised optical flow estimation method by proposing an adaptive pyramid sampling in the deep pyramid network. Specifically, in the pyramid downsampling, we propose a Content-Aware ...

This paper presents a three-phase power-flow algorithm, in the sequence-component frame, for the microgrid (μgrid) and active distribution system (ADS) applications. The developed algorithm ...

UnSAMFlow: Unsupervised Optical Flow Guided by Segment Anything Model (CVPR 2024) This repository contains the PyTorch implementation of our paper titled UnSAMFlow: Unsupervised Optical Flow Guided by ...

Discover what data flow is and how it supports real-time insights, efficiency, and decision-making. Learn about key components, use cases, and emerging trends.

New experimental data on solid–liquid equilibrium (SLE) phase diagrams for binary systems {(−)-menthol or thymol + n-dodecane, or 1-dodecanol, or 2-phenylethanol} are presented. An influence of ...

Here's how to think of ChatGPT's unsupervised training: it was fed a lot of data and left to its own devices to find patterns and make sense of it all.

TLDR: To address inefficiency from excessive visual tokens in LVLMs, we propose a unified, bottom-up perspective based on information-flow, revealing dynamic redundancy emergence and introduce FlowCut ...