Browse State-of-the-Art › Referring Multi-Object Tracking

Referring Multi-Object Tracking

6 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28

Computer Vision

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

No dataset record in the archive lists this task.

Subtasks archive 2025-07-28

1 subtask in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

6 shown of 6 papers with code (11 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

  • 28 Feb 2024 2 repositories listed
    This paper introduces the task of Auditory Referring Multi-Object Tracking (AR-MOT), which dynamically tracks specific objects in a video sequence based on audio expressions and appears as a challenging problem in…
  • 26 May 2025 1 repository listed
    Furthermore, we propose ReaTrack, a training-free framework for reasoning-based multi-object tracking based on large vision-language models (LVLM) and SAM2, as a baseline for the ReaMOT task.
  • 23 Dec 2024 1 repository listed Syntology ran 0 of 3 samples · 3 unverified
    It introduces the cross-view to obtain the appearances of objects from multiple views, avoiding the problem of the invisible appearances of objects in RMOT task.
  • 7 Jun 2024 1 repository listed Syntology ran 6 of 6 samples · 0 unverified · 6 pointer-only (licence)
    Referring multi-object tracking (RMOT) aims at detecting and tracking multiple objects following human instruction represented by a natural language expression.
  • 25 Dec 2023 1 repository listed Syntology ran 5 of 6 samples · 1 unverified
    Referring multi-object tracking (RMOT) aims to track multiple objects based on input textual descriptions.
  • 6 Mar 2023 1 repository listed Syntology ran 5 of 8 samples · 3 unverified · 8 pointer-only (licence)
    In this paper, we propose a new and general referring understanding task, termed referring multi-object tracking (RMOT).

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.

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