mlsanityData to 7 Oct 2026

NOOUGAT: Towards Unified Online and Offline Multi-Object Tracking

arXiv 2509.02111 ↗First posted 2 Sep 2025cs.CVcited by 3

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Abstract (arXiv)

The long-standing division between textitonline and textitoffline Multi-Object Tracking (MOT) has led to fragmented solutions that fail to address the flexible temporal requirements of real-world deployment scenarios. Current textitonline trackers rely on frame-by-frame hand-crafted association strategies and struggle with long-term occlusions, whereas textitoffline approaches can cover larger time gaps, but still rely on heuristic stitching for arbitrarily long sequences. In this paper, we introduce NOOUGAT, the first tracker designed to operate with arbitrary temporal horizons. NOOUGAT leverages a unified Graph Neural Network (GNN) framework that processes non-overlapping subclips, and fuses them through a novel Autoregressive Long-term Tracking (ALT) layer. The subclip size controls the trade-off between latency and temporal context, enabling a wide range of deployment scenarios, from frame-by-frame to batch processing. NOOUGAT achieves state-of-the-art performance across both tracking regimes, improving textitonline AssA by +2.3 on DanceTrack, +9.2 on SportsMOT, and +5.0 on MOT20, with even greater gains in textitoffline mode.

Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 63 of its 101 references that are in the map. First posted on arXiv 2 Sep 2025.

Builds on

63 of 101 references.

References · 63

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38 more
  1. 2021TransReID: Transformer-based Object Re-Identificationcited by 432
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  3. 2021MOTR: End-to-End Multiple-Object Tracking with Transformercited by 379
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  13. 2022MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectorscited by 148
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  15. 2023Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identificationcited by 130
  16. 2023SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenescited by 130
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50 most cited of 63 All 63 (JSON)

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 1.

3 papers.

  1. 2025Zero-Shot Multi-Animal Tracking in the Wildcited by 0
  2. 2025SelfMOTR: Revisiting MOTR with Self-Generating Detection Priorscited by 0
  3. 2026Towards Automatic Video Annotation with ASH: Zero-Shot Open-Vocabulary Multi-Object Tracking and Segmentationcited by 0