Hi,
Hey guys!
I was reading the paper on BDD100k and I saw this under the MoT section:
"For the
detection and MOT models, we use a modified version of
Faster R-CNN [27] with a shared DLA-34 [36] backbone.
The implementation details of the tracking model are shown
in the supplementary materials."
I couldn't find any links to the supplementary materials. I am especially interested in how the re-ID task was performed.
Are you using a similar approach to fairMOT where you use kalmann on re-ID features coming as an output from the FRCNN? If so how is the kalmann updated?
Awaiting your response
Thanks