Article

TopoLeaf: A Zero-Shot Visual Anomaly Detection Framework via Stable Feature Dimensionality and Local Persistent Homology for Self-Organizing Agricultural Cyber-Physical Systems

2026-07-01

Abstract excerpt

<title>Abstract</title> <p>Zero-shot visual anomaly detection in complex textured domains remains a fundamental challenge for building adaptive, self-organizing cyber-physical systems. Conventional deep learning approaches often rely on closed-set assumptions, require prohibitive pixel-level annotation costs, and suffer severe performance degradation under cross-domain shifts---limiting their deployability in rea...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: a2a02615-8355-5c68-91d1-fa9ef0c14d28
DOI: 10.21203/rs.3.rs-10126172/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

TopoLeaf: A Zero-Shot Visual Anomaly Detection Framework via Stable Feature Dimensionality and Local Persistent Homology for Self-Organizing Agricultural Cyber-Physical SystemsDOI 10.21203/rs.3.rs-10126172/v1Read

Attention U-Net for Unsupervised Anomaly Detection in Plant Disease LocalizationSemantic proximity Read

Unsupervised Anomaly Detection in Plant Disease LocalizationSemantic proximity Read

Cross-Domain Tomato Disease Classification via Flexible Contrastive Clustering in Vision-Language ModelsSemantic proximity Read

Mamba-YOLO: A Hybrid Architecture with Linear-Complexity Selective Scan Mechanisms for Enhanced Microscopic Rice Disease DetectionSemantic proximity Read

Lightweight Visual Detection Framework for Complex Background Grape Leaf Disease IdentificationSemantic proximity Read

Progressive Layer Activation CLIP for Few-Shot and Generalizable Cassava Disease RecognitionSemantic proximity Read

Few-Shot Learning approach for plant disease classification using images taken in the fieldSemantic proximity Read

A multiregional image–text dataset and benchmark for vision-language modeling of plant diseasesSemantic proximity Read

An explainable deep machine vision framework for plant stress phenotyping.Semantic proximity Read

A Comparative Investigation of Disease Detection in Plant Pathology: A Study on the YOLOv3 and Gaussian YOLOv3ModelsSemantic proximity Read

B2-GraftingNet: A Hybrid Deep-Machine Learning Framework with Explainable AI for Automated Grape Leaf Disease DetectionSemantic proximity Read

Imaging based AI modeling for Point of Care diagnostics of Potato PlantSemantic proximity Read