Latest Research in Computer Vision and Pattern Recognition
18 research papers · 2026 median publication year
Top Research Topics in Computer Vision and Pattern Recognition
- Computer Vision and Pattern Recognition — 9 papers
- Power Transformer Diagnostics and Insulation — 4 papers
- Anomaly Detection Techniques and Applications — 2 papers
- High voltage insulation and dielectric phenomena — 1 papers
- Machine Learning — 1 papers
- Power Line Inspection Robots — 1 papers
Highest-Cited Papers
- TAMCA: Time-Aware Multi-Scale Convolutional Attention for Multi-Class Industrial Anomaly Detection
- Transformer Fault Diagnosis Method Based on Multidimensional Feature Fusion and Self-Adaptive Synthetic Over-Sampling Using a Least Squares Support Vector Machine Optimized by Experience Exchange Strategy
- Influence of chemical composition on the gassing behavior of biodegradable dielectric liquids: A review
- Variational Template Matching with Statistical Fusion for Anomaly Detection in Patterned Structures
- Intelligent UHF Sensor-Based Partial Discharge Fault Diagnosis in GIS Using a Temporal-Frequency Dual-Branch Stochastic Configuration Network
- Vague2Detect: Handling Ambiguous Prompts in Knowledge-Based Open-World Detection
- SIM: Subspace Interaction-based Method for Token-Level Text Anomaly Detection
- Industrial anomaly detection via RGB-event fusion with multimodal large language models
- Moisture-Dependent Dielectric Indicators for Retrofilling Criteria from Mineral Oil to Natural Ester and Palm Fatty Acid Ester in Kraft, TUK, and DPE Paper Insulation Systems
- Training-Free Logical and Structural Anomaly Detection via Calibrated Fusion
- Neural-Collapse-guided Task-Free Continual Anomaly Detection
- Impact of moisture on the frequency–temperature characteristics of the complex permittivity of pressboard composite impregnated with an innovative bio-oil for power transformer solid insulation
- DPA: Decoupling Product-Agnostic Anomaly Representations for Zero-shot Anomaly Generation
- Contrastive Knowledge Distillation for Anomaly Detection in Multi-Illumination/Focus Display Images
- AI and computer vision driven fault detection framework for enhancing response accuracy in transmission and distribution production command systems
- NFAD: Nuisance-Filtered Anomaly Detection Under Distribution Shift
- ShiftSplit-AD: Separating Domain Shift from Defects in Foundation-Feature Visual Anomaly Detection
- GuidedFlow: An Attention-Guided Framework for Anomaly Detection in Additive Manufacturing