GNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization

MOT17-07-FRCNN


Benchmark:

Short name:

GNNMatch

Detector:

Public

Description:

Reference:

I. Papakis, A. Sarkar, A. Karpatne. GCNNMatch: Graph Convolutional Neural Networks for Multi-Object Tracking via Sinkhorn Normalization. In arXiv preprint arXiv:2010.00067, 2020.

Last submitted:

March 02, 2021 (2 months ago)

Published:

July 15, 2020 at 14:27:00 CET

Submissions:

4

Open source:

Yes

Hardware:

TITAN RTX

Runtime:

1.3 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MOTP MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT1757.356.345.478.6575 (24.4)787 (33.4)14,100225,04260.196.045.245.952.567.948.477.481.50.81,911 (31.8)2,837 (47.2)

Detailed performance:

Sequence MOTA IDF1 HOTA MOTP MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT17-01-DPM43.641.435.877.6512903,52945.397.037.234.544.264.635.976.980.60.21928
MOT17-01-FRCNN46.243.037.376.97111853,26849.394.538.136.645.460.238.774.280.20.41928
MOT17-01-SDP46.646.037.677.08101653,25849.595.138.337.145.962.639.074.980.10.42234
MOT17-03-DPM68.663.850.778.962191,90230,80370.697.548.053.853.473.056.878.481.71.3118203
MOT17-03-FRCNN69.566.652.078.560171,84729,97671.497.650.154.455.273.457.378.481.51.2112222
MOT17-03-SDP74.269.954.777.980153,11323,71977.396.351.858.057.771.761.977.080.82.1142304
MOT17-06-DPM54.233.431.880.161825134,77459.593.222.345.755.029.948.976.782.40.4107128
MOT17-06-FRCNN56.436.334.179.471608144,18364.590.324.248.254.730.552.974.181.90.7145177
MOT17-06-SDP56.234.632.279.574638414,16264.790.121.748.253.927.753.073.882.00.7159175
MOT17-07-DPM45.645.836.478.48202238,90047.397.336.836.341.861.637.877.881.50.473138
MOT17-07-FRCNN44.947.737.178.18173968,83547.795.338.336.441.968.138.276.381.10.883145
MOT17-07-SDP46.847.237.478.010154398,45450.095.137.238.042.061.740.176.281.00.995170
MOT17-08-DPM28.432.029.482.493719014,87629.697.035.424.540.570.225.182.484.60.35067
MOT17-08-FRCNN27.832.530.282.784021014,98729.196.738.124.142.474.624.782.184.70.34965
MOT17-08-SDP29.333.030.881.9133523214,65430.696.538.025.244.069.925.981.584.20.45785
MOT17-12-DPM46.654.044.882.017431084,49648.197.552.038.858.772.140.381.684.00.12030
MOT17-12-FRCNN45.051.843.782.015431214,63346.597.150.737.859.069.939.281.784.20.11625
MOT17-12-SDP46.354.445.181.717432184,42349.095.152.538.959.671.240.979.583.60.21528
MOT17-14-DPM33.638.829.676.5127155411,54637.592.631.428.136.959.129.572.979.70.7175222
MOT17-14-FRCNN34.139.629.975.6157193811,03740.388.830.729.437.355.031.569.578.91.3201269
MOT17-14-SDP36.441.431.175.615631,00110,52943.088.831.331.237.057.233.669.479.01.3234294

Raw data:


GNNMatch