MOT17-01-DPM MOT17-03-DPM MOT17-06-DPM MOT17-07-DPM MOT17-08-DPM MOT17-12-DPM MOT17-14-DPM MOT17-01-FRCNN MOT17-03-FRCNN MOT17-06-FRCNN

Short name:

AEb_Exp_4

Benchmark:

Description:

Experiment 4
Supervised on Train Data and deploy Test using Trained Models

Hardware:

3 GHZ, 1 Core

Detector:

Public

Processing:

Batch

Last submitted:

February 04, 2019 (14 days ago)

Published:

February 04, 2019 at 21:07:39 CET

Submissions:

1

Open source:

No

Project page / code:

n/a

Reference:

Anonymous submission

Benchmark performance:

MOTAMOTPFAFMTMLFPFNID Sw.FragSpecificationsDetector
38.677.10.914.8 % 46.4 % 16,841327,2172,2066,9593 GHZ, 1 CorePublic
IDF1ID PrecisionID Recall
39.363.428.5

Detailed performance:

Sequence MOTA IDF1 MOTP FAF GT MT ML FP FN ID Sw Frag
MOT17-01-DPM23.631.672.10.52412.5 % 54.2 % 2394,6682284
MOT17-03-DPM7.56.477.10.41481.4 % 88.5 % 56096,0722131,340
MOT17-06-DPM39.342.173.80.32228.6 % 54.5 % 3226,75875217
MOT17-07-DPM7.67.576.60.2603.3 % 93.3 % 9915,45055180
MOT17-08-DPM16.218.579.30.4762.6 % 65.8 % 26517,36478215
MOT17-12-DPM31.135.177.10.3915.5 % 58.2 % 2845,66425135
MOT17-14-DPM9.510.975.00.61640.6 % 81.7 % 45416,20471251
MOT17-01-FRCNN29.338.376.52.82425.0 % 41.7 % 1,2513,2823053
MOT17-03-FRCNN57.248.777.91.114824.3 % 18.9 % 1,68042,793295494
MOT17-06-FRCNN55.157.578.60.322223.4 % 30.6 % 4144,775100194
MOT17-07-FRCNN34.539.675.02.3608.3 % 30.0 % 1,1369,822110329
MOT17-08-FRCNN22.528.779.71.1767.9 % 51.3 % 66115,62872111
MOT17-12-FRCNN37.848.978.50.59113.2 % 49.5 % 4504,9142342
MOT17-14-FRCNN21.734.571.62.71646.1 % 48.8 % 2,02712,317119563
MOT17-01-SDP38.639.373.72.02429.2 % 16.7 % 8783,03448193
MOT17-03-SDP73.259.777.60.814845.9 % 9.5 % 1,25326,4123391,012
MOT17-06-SDP53.151.476.70.522227.5 % 35.1 % 6334,79599261
MOT17-07-SDP46.442.175.41.96025.0 % 23.3 % 9268,033102347
MOT17-08-SDP29.330.678.30.97611.8 % 46.1 % 53814,261140263
MOT17-12-SDP40.549.978.60.89119.8 % 45.1 % 7074,4054498
MOT17-14-SDP30.937.372.22.81645.5 % 37.2 % 2,06410,566146577

Raw data:

n/a


AEb_Exp_4