STAD: Joint Spatial-Temporal Dimension and Channel Correlation for Time Series Anomaly Detection.

Anomaly-Free Prior Guided Knowledge Distillation for Industrial Anomaly Detection.

FGSNet: A Finer-Grained Siamese Network for Industrial Few-Shot Anomaly Detection.

Knowledge Distillation Using Global Fusion and Feature Restoration for Industrial Defect Detectors.

Color and Feature Space Classification Methods Solve the Problem of Covariate Semantic Information Deviation in Complex Scene Detection Tasks.

Gradient-YOLO: Exploring the integration of gradient architecture into the YOLO network.

Time Series Anomaly Detection via Temporal Dependencies and Multivariate Correlations Integrating.

Structural Optimization and Sequence Interaction Enhancement for Hyper-Relational Knowledge Graphs.

A Multi-Granularity Semantic Extraction Method for Text Classification.

PDT: Uav Target Detection Dataset for Pests and Diseases Tree.

Research on the Design of Government Data Governance Evaluation System under the Perspective of Digital Government.

Feature Aggregation Network for Memory-Based Industrial Anomaly Detection.

PCB Defect Detection Model with Convolutional Modules Instead of Self-Attention Mechanism.

A Relational Classification Network Integrating Multi-scale Semantic Features.

Exploring Adaptive Regression Loss and Feature Focusing in Industrial Scenarios.

Transforming Limitations into Advantages: Improving Small Object Detection Accuracy with SC-AttentionIoU Loss Function.