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Anomaly Detection

1,150 평가 기록 172 datasets

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

하위 태스크

3A 3D Anomaly Detection 21 데이터셋 · 130 rows IM Image Manipulation Detection 21 데이터셋 · 106 rows UA Unsupervised Anomaly Detection 23 데이터셋 · 78 rows AD Anomaly Detection In Surveillance Videos 7 데이터셋 · 62 rows AE Abnormal Event Detection In Video 5 데이터셋 · 23 rows AC Anomaly Classification 6 데이터셋 · 17 rows MA Multi-class Anomaly Detection 3 데이터셋 · 14 rows DA Depth Anomaly Detection and Segmentation 1 데이터셋 · 13 rows 3A 3D Anomaly Detection and Segmentation 2 데이터셋 · 12 rows SA Supervised Anomaly Detection 2 데이터셋 · 10 rows RA RGB+3D Anomaly Detection and Segmentation 1 데이터셋 · 9 rows CA Cold-Start Anomaly Detection 1 데이터셋 · 3 rows GA Graph Anomaly Detection 2 데이터셋 · 2 rows SA Self-Supervised Anomaly Detection 1 데이터셋 · 2 rows 3+ 3D + RGB Anomaly Detection 0 데이터셋 · 0 rows 3+ 3D + RGB Anomaly Segmentation 0 데이터셋 · 0 rows 3A 3D Anomaly Segmentation 0 데이터셋 · 0 rows CA Contextual Anomaly Detection 0 데이터셋 · 0 rows DT Damaged Tissue Detection 0 데이터셋 · 0 rows D+ Depth + RGB Anomaly Detection 0 데이터셋 · 0 rows D+ Depth + RGB Anomaly Segmentation 0 데이터셋 · 0 rows DA Depth Anomaly Segmentation 0 데이터셋 · 0 rows DD DepthAnomaly Detection 0 데이터셋 · 0 rows GA Group Anomaly Detection 0 데이터셋 · 0 rows OC One-Class Classification 0 데이터셋 · 0 rows RA RGB+Depth Anomaly Detection and Segmentation 0 데이터셋 · 0 rows UA Unsupervised Anomaly Detection In Sound 0 데이터셋 · 0 rows WA Weakly-supervised Anomaly Detection 0 데이터셋 · 0 rows