A Versatile Framework for Analyzing Galaxy Image Data by Implanting Human-in-the-loop on a Large Vision Model

no code implementations • 17 May 2024 • Mingxiang Fu, Yu Song, Jiameng Lv, Liang Cao, Peng Jia, Nan Li, Xiangru Li, Jifeng Liu, A-Li Luo, Bo Qiu, Shiyin Shen, Liangping Tu, Lili Wang, Shoulin Wei, Haifeng Yang, Zhenping Yi, Zhiqiang Zou

Hence, as an example to present how to overcome the issue, we built a framework for general analysis of galaxy images, based on a large vision model (LVM) plus downstream tasks (DST), including galaxy morphological classification, image restoration, object detection, parameter extraction, and more.

Deep Learning and LLM-based Methods Applied to Stellar Lightcurve Classification

2 code implementations • 16 Apr 2024 • Yu-Yang Li, Yu Bai, Cunshi Wang, Mengwei Qu, Ziteng Lu, Roberto Soria, Jifeng Liu

Light curves serve as a valuable source of information on stellar formation and evolution.

Feature Engineering Language Modelling +2

Identify Light-Curve Signals with Deep Learning Based Object Detection Algorithm. I. Transit Detection

1 code implementation • 2 Aug 2021 • Kaiming Cui, Junjie Liu, Fabo Feng, Jifeng Liu

In this work, we develop a novel detection algorithm based on a well proven object detection framework in the computer vision field.

object-detection Object Detection