IEEE

Leaf Disease Segmentation Using Hybrid U-Net Model: A Deep Learning Approach for Precise Plant Pathology Detection

Abstract: Early and precise identification of leaf diseases is critical for efficient crop management and yield improvement in agriculture. Traditional manual inspection approaches are laborious, ...
Frontiers

Enhancing online adaptive radiotherapy with uncertainty based segmentation error and out-of-distribution detection

Anatomical segmentation is one of the biggest sources of uncertainty in the online adaptive radiotherapy workflow. The aim of this study was to investigate the relation between the estimated ...
IEEE

AgriSeg: A Comprehensive Study on Semantic Segmentation for Leaf Disease, Fruit, and Crop-Weed Detection

Abstract: The agricultural sector is a cornerstone to global economic growth, food security, and employment. With the rise of Artificial Intelligence, it is transforming precision agriculture by ...
GitHub

No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models

This repository is the official PyTorch implementation of the NeurIPS 2025 paper: No Object Is an Island: Enhancing 3D Semantic Segmentation Generalization with Diffusion Models, authored by Fan Li, ...
GitHub

VLM Object Detection and Segmentation Pipeline

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...