Methods › Computer Vision › Multi-Object Tracking Models › TraDeS
TraDeS
Introduced by Jialian Wu et al. in Track to Detect and Segment: An Online Multi-Object Tracker
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
TradeS is an online joint detection and tracking model, coined as TRACK to DEtect and Segment, exploiting tracking clues to assist detection end-to-end. TraDeS infers object tracking offset by a cost volume, which is used to propagate previous object features for improving current object detection and segmentation.
Papers archive 2025-07-28
1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.
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Track to Detect and Segment: An Online Multi-Object Tracker 16 Mar 2021 · 1 repository · arXiv:2103.08808Syntology ran 4 of 4 samples · 0 unverified
Tasks archive 2025-07-28
11 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
Usage over time archive 2025-07-28
Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).
Categories archive 2025-07-28
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections