IEEE

Pseudo Labeling Methods for Semi-Supervised Semantic Segmentation: A Review and Future Perspectives

Abstract: Semantic segmentation is a fundamental task in computer vision and finds extensive applications in scene understanding, medical image analysis, and remote sensing. With the advent of deep ...
GitHub

Flash LiDAR Vehicle Detection with MATLAB Dataset and Deep Learning Benchmarks

This repository provides code and workflows to test several state-of-the-art vehicle detection deep learning algorithms —including YOLOX, SalsaNext, RandLA-Net, and VoxelRCNN— on a Flash Lidar dataset ...
IEEE

SAM Enhanced Semantic Segmentation for Remote Sensing Imagery Without Additional Training

Abstract: Semantic segmentation is a critical process in remote sensing image analysis, supporting various applications. The recent development of the segment anything model (SAM), a visual foundation ...
GitHub

Slim UNETR: An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources

🎉 This work is published in IEEE Transactions on Medical Imaging The sub-regions considered for evaluation in BraTS 21 challenge are the "enhancing tumor" (ET), the "tumor core" (TC), and the "whole ...