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Found 4 papers, 1 papers with code
A Lightweight Reconstruction Network for Surface Defect Inspection
Currently, most deep learning methods cannot solve the problem of scarcity of industrial product defect samples and significant differences in characteristics.
Data Augmentation Vision Transformer for Fine-grained Image Classification
Recently, the vision transformer (ViT) has made breakthroughs in image recognition.
Spatio-Temporal-based Context Fusion for Video Anomaly Detection
Motion features are used multiple targets in the video frame to construct spatial context simultaneously, re-encoding the target appearance and motion features, and finally reconstructing the above features through the spatio-temporal dual-stream network, and using the reconstruction error to represent the abnormal score.
Normal Learning in Videos with Attention Prototype Network
With models trained on the normal data, the reconstruction errors of anomalous scenes are usually much larger than those of normal ones.
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