IEEE

Multimodal Segmentation for Photovoltaic Module Defect Detection

Abstract: Accurate photovoltaic module defect detection is hindered by limited single-modality information and weak feature representation under complex environmental conditions. To enhance defect ...
IEEE

An Improved Instance Segmentation Method of Visible Occluded Ship Images Based on Residual Feature Fusion Module and Ship Contour Predictor

Abstract: It is significant for harbor management and ship safety to obtain more precise location and shape information from ship instance segmentation. Ships often encounter mutual occlusion during ...
Scientific Research Publishing

Wu, X., Liang, L., Shi, Y. and Fomel, S. (2019) FaultSeg3D: Using Synthetic Data Sets to Train an End-to-End Convolutional Neural Network for 3D Seismic Fault Segmentation ...

ABSTRACT: Accurate identification of seismic faults is critical to seismology, geological modeling, and disaster assessment. Traditional manual interpretation entails heavy reliance on domain ...
Scientific Research Publishing

Interactive Identification of Seismic Faults with the Segment Anything Model ()

1 School of Science, Tianjin University of Technology and Education, Tianjin, China. 2 School of Big Data, Lvliang Vocational and Technical College, Lvliang, China. Accurate identification of seismic ...
GitHub

[BUG]: Randomly recurring test_cufile.py::test_get_stats_l3 Segmentation faults

In routine testing on a bare-metal (NOT WSL) Ubuntu 24.04 linux-64 workstation I'm seeing randomly recurring test_cufile.py::test_get_stats_l3 Segmentation faults, e.g.: ...