Traffic Congestion Classification on Surveillance Traffic Congestion Dataset (test)
97.5AccuracyFLO-EMD
Evaluation Results
| Method | Links | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FLO-EMD2026.05 | 97.5 | 0.0789 | 96.89 | 96.98 | 96.89 | 97.38 | 97.5 | 97.42 | 98.08 | 95.38 | 97.21 | |
| TSM2026.05 | 95.5 | 0.1234 | 94.12 | 93.98 | 94.02 | 95.23 | 95.5 | 95.34 | 96.15 | 91.54 | 94.38 | |
| Video SwinFine-tuned from Kinetics-400=true2026.05 | 94 | 0.1523 | 92.67 | 91.89 | 92.15 | 93.45 | 94 | 93.7 | 96.15 | 89.12 | 91.19 | |
| TimeSformerFine-tuned from Kinetics-400=true2026.05 | 92.5 | 0.1834 | 90.89 | 90.12 | 90.38 | 91.78 | 92.5 | 92.11 | 95.38 | 86.23 | 89.52 | |
| X3D2026.05 | 91 | 0.2189 | 82.45 | 82.98 | 82.56 | 86.78 | 91 | 87.32 | 86.54 | 78.12 | 83.02 | |
| MViTv2Fine-tuned from Kinetics-400=true2026.05 | 90.5 | 0.2345 | 88.34 | 87.56 | 87.82 | 89.45 | 90.5 | 89.95 | 93.85 | 83.34 | 86.27 | |
| TANet2026.05 | 89.5 | 0.2156 | 88.12 | 86.54 | 87.21 | 89.03 | 89.5 | 89.24 | 94.23 | 81.25 | 86.15 | |
| TEA2026.05 | 87.5 | 0.4521 | 79.89 | 81.24 | 80.42 | 85.12 | 87.5 | 85.98 | 95.12 | 68.75 | 77.38 | |
| YOLO+GRU-Attn2026.05 | 81.5 | 0.5234 | 79.89 | 79.23 | 79.41 | 81.12 | 81.5 | 81.25 | 89.23 | 75.12 | 73.88 | |
| YOLO+LSTM2026.05 | 75.5 | 0.6834 | 72.89 | 71.54 | 71.98 | 74.56 | 75.5 | 74.89 | 86.54 | 65.89 | 63.51 |