Foreground Detection on CDNet highway
0.899PrecisionTWCTV
Evaluation results
| Method | Links | |||
|---|---|---|---|---|
| TWCTVModel Type=tensor-based2026.04 | 0.899 | 0.8866 | 0.8927 | |
| SNNModel Type=tensor-based2026.04 | 0.8966 | 0.7092 | 0.7923 | |
| RPCAModel Type=matrix-based2026.04 | 0.8873 | 0.7886 | 0.8348 | |
| TNNModel Type=tensor-based2026.04 | 0.8566 | 0.869 | 0.8522 | |
| DPCA1bNumber of PCs=64, Cycles=202024.11 | 0.83 | 0.692 | 0.755 | |
| DPCA1bnumber of PCs=64, iterations=202024.11 | 0.83 | 0.692 | 0.755 | |
| TCTVModel Type=tensor-based2026.04 | 0.8232 | 0.7992 | 0.811 | |
| DPCA2Number of PCs=64, Cycles=202024.11 | 0.817 | 0.691 | 0.749 | |
| DPCA2number of PCs=64, iterations=202024.11 | 0.817 | 0.691 | 0.749 | |
| DPCA1aNumber of PCs=64, Cycles=202024.11 | 0.807 | 0.713 | 0.757 | |
| DPCA1anumber of PCs=64, iterations=202024.11 | 0.807 | 0.713 | 0.757 | |
| GPowerNumber of PCs=642024.11 | 0.804 | 0.677 | 0.735 | |
| GPowernumber of PCs=642024.11 | 0.804 | 0.677 | 0.735 | |
| SPCANumber of PCs=642024.11 | 0.725 | 0.7 | 0.712 | |
| SPCAnumber of PCs=642024.11 | 0.725 | 0.7 | 0.712 | |
| PMDNumber of PCs=642024.11 | 0.443 | 0.66 | 0.53 | |
| PMDnumber of PCs=642024.11 | 0.443 | 0.66 | 0.53 |