Difference between revisions of "2014:MIREX2014 Results/ade"
From MIREX Wiki
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| 62.5 | | 62.5 | ||
| 31.0 | | 31.0 | ||
| + | |} | ||
| + | |||
| + | {| class="wikitable sortable" border="1" | ||
| + | |+ Results hjdb dataset | ||
| + | |- | ||
| + | ! Algorithm | ||
| + | ! F-Measure | ||
| + | ! Precision | ||
| + | ! Recall | ||
| + | |- | ||
| + | | FK3 | ||
| + | | 21.5 | ||
| + | | 26.2 | ||
| + | | 19.1 | ||
| + | |- | ||
| + | | FK4 | ||
| + | | 64.0 | ||
| + | | 64.2 | ||
| + | | 63.9 | ||
| + | |- | ||
| + | | KSH1 | ||
| + | | 9.4 | ||
| + | | 16.7 | ||
| + | | 8.5 | ||
| + | |- | ||
| + | | DBDR2 | ||
| + | | 64.2 | ||
| + | | 65.1 | ||
| + | | 64.2 | ||
| + | |- | ||
| + | | DBDR3 | ||
| + | | 66.7 | ||
| + | | 67.6 | ||
| + | | 66.8 | ||
|} | |} | ||
*) Submissions marked by an asterisk partially include the test set into their training set. | *) Submissions marked by an asterisk partially include the test set into their training set. | ||
Revision as of 05:46, 9 October 2014
Submitted Algorithms
| Submission code | Submission name | Abstract | Contributors |
|---|---|---|---|
| DBDR2 | DB1_no_ballroom | Simon Durand, Juan Bello, Bertrand David, Gael Richard | |
| DBDR3 | DB2_no_beatles | Simon Durand, Juan Bello, Bertrand David, Gael Richard | |
| FK3 | Ballroom_tracker | Florian Krebs | |
| FK4 | Ballroom_Pop_tracker | Florian Krebs | |
| KSH1 | Turkish_Indian_Cretan_tracker | Florian Krebs, Andre Holzapfel, Ajay Srinivasamurthy |
Table 1. Algorithms submitted to the Automatic Downbeat Estimation task.
Results
| Algorithm | F-Measure | Precision | Recall |
|---|---|---|---|
| FK3* | 79.2 | 77.6 | 81.6 |
| FK4* | 70.8 | 68.0 | 75.8 |
| KSH1 | 19.4 | 22.7 | 19.9 |
| DBDR2 | 70.5 | 75.4 | 70.3 |
| DBDR3* | 75.2 | 80.0 | 75.2 |
| Algorithm | F-Measure | Precision | Recall |
|---|---|---|---|
| FK3 | 58.8 | 57.5 | 63.4 |
| FK4 | 63.0 | 59.5 | 70.2 |
| KSH1 | 19.4 | 21.1 | 20.8 |
| DBDR2* | 83.1 | 82.6 | 87.1 |
| DBDR3 | 81.6 | 81.4 | 85.6 |
| Algorithm | F-Measure | Precision | Recall |
|---|---|---|---|
| FK3 | 16.9 | 16.1 | 20.2 |
| FK4 | 19.4 | 15.3 | 30.4 |
| KSH1 | 40.0 | 39.9 | 41.4 |
| DBDR2 | 18.4 | 15.6 | 25.9 |
| DBDR3 | 20.0 | 16.9 | 28.2 |
| Algorithm | F-Measure | Precision | Recall |
|---|---|---|---|
| FK3 | 19.7 | 15.8 | 28.9 |
| FK4 | 24.0 | 18.2 | 38.7 |
| KSH1* | 77.5 | 75.9 | 81.9 |
| DBDR2 | 44.8 | 40.0 | 55.3 |
| DBDR3 | 44.8 | 39.5 | 56.5 |
| Algorithm | F-Measure | Precision | Recall |
|---|---|---|---|
| FK3 | 53.5 | 86.6 | 39.3 |
| FK4 | 51.2 | 74.5 | 39.4 |
| KSH1* | 85.4 | 88.2 | 84.1 |
| DBDR2 | 43.5 | 65.5 | 32.5 |
| DBDR3 | 41.5 | 62.5 | 31.0 |
| Algorithm | F-Measure | Precision | Recall |
|---|---|---|---|
| FK3 | 21.5 | 26.2 | 19.1 |
| FK4 | 64.0 | 64.2 | 63.9 |
| KSH1 | 9.4 | 16.7 | 8.5 |
| DBDR2 | 64.2 | 65.1 | 64.2 |
| DBDR3 | 66.7 | 67.6 | 66.8 |
- ) Submissions marked by an asterisk partially include the test set into their training set.
