TMMSAM2: Tracker-Aided Multitemporal Memory SAM2 for Hyperspectral Object Tracking.

Fu X, Zhang T, Zhang X, Lin M, Lv Z, He W, Ren Q, Xu M, Jia S

Open source

DOI
10.1109/tnnls.2026.3705897
Published
2026 Jul 7
Container
IEEE transactions on neural networks and learning systems
Publisher
Not recorded
Open access
unknown

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1109/tnnls.2026.3705897,
  title = {TMMSAM2: Tracker-Aided Multitemporal Memory SAM2 for Hyperspectral Object Tracking.},
  author = {Fu X and Zhang T and Zhang X and Lin M and Lv Z and He W and Ren Q and Xu M and Jia S},
  year = {2026},
  journal = {IEEE transactions on neural networks and learning systems},
  doi = {10.1109/tnnls.2026.3705897},
  url = {https://doi.org/10.1109/tnnls.2026.3705897}
}

RIS

TY  - JOUR
TI  - TMMSAM2: Tracker-Aided Multitemporal Memory SAM2 for Hyperspectral Object Tracking.
AU  - Fu X
AU  - Zhang T
AU  - Zhang X
AU  - Lin M
AU  - Lv Z
AU  - He W
AU  - Ren Q
AU  - Xu M
AU  - Jia S
PY  - 2026
JO  - IEEE transactions on neural networks and learning systems
DO  - 10.1109/tnnls.2026.3705897
UR  - https://doi.org/10.1109/tnnls.2026.3705897
ER  - 

APA

X, F., T, Z., X, Z., M, L., Z, L., W, H., Q, R., M, X., & S, J. (2026). TMMSAM2: Tracker-Aided Multitemporal Memory SAM2 for Hyperspectral Object Tracking.. IEEE transactions on neural networks and learning systems. https://doi.org/10.1109/tnnls.2026.3705897

Source records