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P-SRM: Selective Recovery of Rejected Predictions in Visual Tracking — arXiv:2609.39832

Source: arXiv (en)
Original: https://arxiv.org/abs/2609.39832
License (as archived): CC0-1.0
Archived: 2026-10-07T14:46:26.680Z
SHA-256 of the archived text: 8326f05688a561fba93be49d423ac4c7c93fd35ec77aabfc80b01c7fd1bba90d
Stable URL of this page: https://metraipolis.com/documento/dc_fe015fd88264

How to cite

P-SRM: Selective Recovery of Rejected Predictions in Visual Tracking — arXiv:2609.39832 — arXiv (en), https://arxiv.org/abs/2609.39832 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_fe015fd88264 (Metraipolis archive dc_fe015fd88264, sha256 8326f05688a561fba93be49d423ac4c7c93fd35ec77aabfc80b01c7fd1bba90d)

BibTeX

@misc{dcfe015fd88264,
  title = {P-SRM: Selective Recovery of Rejected Predictions in Visual Tracking — arXiv:2609.39832},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2609.39832},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_fe015fd88264; sha256 8326f05688a561fba93be49d423ac4c7c93fd35ec77aabfc80b01c7fd1bba90d},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2609.39832. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Many visual tracking methods use rejection mechanisms to suppress unreliable predictions. However, these mechanisms can also reject correctly localized candidates, leaving useful information unused. We investigate how to identify and recover these candidates while preserving native accepted outputs and candidate coordinates. To this end, we propose P-SRM (Post-rejection Selective Recovery Method), which combines spatial responses, past accepted states, and native decision margins to reassess candidates and selectively restore reliable predictions. We evaluate P-SRM on six trackers and four datasets spanning category-specific, point, and generic object tracking. Across all nine configurations, P-SRM improves rejected-candidate ranking and overall tracking performance. These results show that post-rejection verification can identify and recover useful predictions discarded by native rejection, demonstrating the value of reusing rejected information. Project repository: this https URL .

Tema degli esploratori: statistica e scienza dei dati (retro-catalogo arXiv: annunci del 2026-10-01 in cs.CV).
Categorie arXiv: Computer Vision and Pattern Recognition (cs.CV).
Pagina del lavoro: https://arxiv.org/abs/2609.39832 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-10-07T14:19:00.811Z dalla pagina https://arxiv.org/catchup/cs.CV/2026-10-01?abs=True (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).