GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion

no code implementations • 27 Feb 2024 • Le Cheng, Peican Zhu, Keke Tang, Chao GAO, Zhen Wang

In this paper, we address a more challenging task, rumor source detection with incomplete user data, and propose a novel framework, i. e., Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion (GIN-SD), to tackle this challenge.

An Efficient MLP-based Point-guided Segmentation Network for Ore Images with Ambiguous Boundary

1 code implementation • 27 Feb 2024 • Guodong Sun, Yuting Peng, Le Cheng, Mengya Xu, An Wang, Bo Wu, Hongliang Ren, Yang Zhang

The precise segmentation of ore images is critical to the successful execution of the beneficiation process.

Efficient Segmentation with Texture in Ore Images Based on Box-supervised Approach

1 code implementation • 10 Nov 2023 • Guodong Sun, Delong Huang, Yuting Peng, Le Cheng, Bo Wu, Yang Zhang

At the same time, the ore distribution is stacked, and it is difficult to identify the complete features.

Image Segmentation Semantic Segmentation

Faster OreFSDet : A Lightweight and Effective Few-shot Object Detector for Ore Images

1 code implementation • 2 May 2023 • Yang Zhang, Le Cheng, Yuting Peng, Chengming Xu, Yanwei Fu, Bo Wu, Guodong Sun

For the ore particle size detection, obtaining a sizable amount of high-quality ore labeled data is time-consuming and expensive.

Object object-detection +1