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Models/SSMTL

SSMTL

Reported on 6 benchmarks across 3 tasks · 1 paper · 1 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Methodology5 results

Anomaly DetectiononCUHK Avenue
FPS· 2020-11-15
51
best: 1670 (SD-MAE)
SOTA
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning arXiv:2011.07491
Anomaly DetectiononUCSD Peds2
AUC· 2020-11-15
97.5
best: 98.7 (Background-Agnostic Framework)
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning arXiv:2011.07491
Anomaly DetectiononCUHK Avenue
RBDC· 2020-11-15
57
best: 68.2 (EVAL)
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning arXiv:2011.07491
Anomaly DetectiononCUHK Avenue
TBDC· 2020-11-15
58.3
best: 89.28 (HF2VAD+SSPCAB)
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning arXiv:2011.07491
Anomaly DetectiononUCSD Peds2
AUC· 2020-11-15
97.5
best: 98.7 (Background-Agnostic Framework)
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning arXiv:2011.07491

Computer Vision2 results

Video UnderstandingonUCSD Peds2
AUC· 2020-11-15
97.5
best: 98.7 (Background-Agnostic Framework)
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning arXiv:2011.07491
VideoonUCSD Peds2
AUC· 2020-11-15
97.5
best: 98.7 (Background-Agnostic Framework)
Anomaly Detection in Video via Self-Supervised and Multi-Task Learning arXiv:2011.07491