No appearance embedding is used?

[ifzhang]

No appearance embedding is used?

[qwe1444]

We replaced the detector, use darknet-yolov4 ,compared Bytetrack and Deepsort at MOT20 train-set，deepsort better than Bytetrack. Whether appearance embedding is useful is still a question

[ifzhang]

BYTE can be combined with embedding and sometimes can achieve better results when only using Kalman. You can see some example in tutorials, like FairMOT and CSTrack. In some videos with fast camera motion or low fps, embedding is more accurate than Kalman. We do not use embedding because we want to get faster inference speed. BTW, embedding tends to perform better on the training set (e.g. MOT20) because it can overfit the training set. However, it will drop performance on the test set because of the domain gap.

[Mohamed209]

in the paper , authors mentioned that embedings are not important for their algorithm , from my reading to the paper and using the code base in my projects , kalman uses only location and motion to predict new ids

[JunweiLiang]

@ifzhang Any insights would be greatly appreciated. I'm really surprised that appearance features do not help.

[JunweiLiang]

@ifzhang Thanks! That is very insightful.