Method

MAPT [MAPT]
[Anonymous Submission]

Submitted on 23 Aug. 2024 10:02 by
[Anonymous Submission]

Running time:1 s
Environment:4 cores @ 2.5 Ghz (Python)

Method Description:
Our approach leverages both appearance and motion
cues through dedicated network heads.
Parameters:
appearance and motion cues
Latex Bibtex:
To be published

Detailed Results

From all 29 test sequences, our benchmark computes the STQ segmentation and tracking metric (STQ, AQ, SQ (IoU)). The tables below show all of these metrics.


Benchmark STQ AQ SQ (IoU)
KITTI-STEP 58.97 % 56.57 % 61.47 %

This table as LaTeX



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