HQ-SMem: Video Segmentation and Tracking Using Memory Efficient Object Embedding With Selective Update and Self-Supervised Distillation Feedback. Kazemi, E. S., Toubal, I. E., Rahmon, G., Collins, J., & Palaniappan, K. CoRR, 2025.
HQ-SMem: Video Segmentation and Tracking Using Memory Efficient Object Embedding With Selective Update and Self-Supervised Distillation Feedback [link]Paper  doi  bibtex   
@article{DBLP:journals/corr/abs-2507-18921,
  author       = {Elham Soltani Kazemi and
                  Imad Eddine Toubal and
                  Gani Rahmon and
                  Jaired Collins and
                  Kannappan Palaniappan},
  title        = {HQ-SMem: Video Segmentation and Tracking Using Memory Efficient Object
                  Embedding With Selective Update and Self-Supervised Distillation Feedback},
  journal      = {CoRR},
  volume       = {abs/2507.18921},
  year         = {2025},
  url          = {https://doi.org/10.48550/arXiv.2507.18921},
  doi          = {10.48550/ARXIV.2507.18921},
  eprinttype    = {arXiv},
  eprint       = {2507.18921},
  timestamp    = {Mon, 18 Aug 2025 01:00:00 +0200},
  biburl       = {https://dblp.org/rec/journals/corr/abs-2507-18921.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

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