SSL_MOT: Self-Supervised Learning Based Multi-Object Tracking

MOT16-01


Benchmark:

MOT16 | MOT17 | MOT20 |

Short name:

SSL_MOT

Detector:

Public

Description:

Reference:

Last submitted:

August 24, 2021 (24 days ago)

Published:

August 17, 2021 at 16:55:33 CET

Submissions:

2

Project page / code:

n/a

Open source:

No

Hardware:

RTX2080ti

Runtime:

13.7 Hz

Benchmark performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT1662.145.240.6208 (27.4)222 (29.2)4,76063,23865.396.232.950.549.943.053.578.882.40.81,022 (0.0)1,356 (0.0)

Detailed performance:

Sequence MOTA IDF1 HOTA MT ML FP FN Rcll Prcn AssA DetA AssRe AssPr DetRe DetPr LocA FAF ID Sw. Frag
MOT16-0147.141.737.0610663,27948.797.935.438.740.265.540.180.783.20.14156
MOT16-0373.550.045.273161,54025,98575.198.135.158.554.542.261.580.282.51.0162280
MOT16-0652.336.333.463847434,60560.190.324.845.449.633.349.574.482.30.6150186
MOT16-0758.443.136.91474686,15462.395.629.047.838.145.250.777.881.80.9163229
MOT16-0841.732.229.012186088,94446.692.823.336.532.942.438.877.383.31.0200214
MOT16-1253.955.547.126233863,39559.192.748.046.458.965.149.878.184.00.44261
MOT16-1434.628.924.8146494910,87641.288.920.130.732.832.232.971.180.11.3264330

Raw data: