Weighting Pseudo-labels via High-Activation Feature Index Similarity and Object Detection for Semi-supervised Segmentation

Prantik Howlader, Hieu Le 0001, Dimitris Samaras. Weighting Pseudo-labels via High-Activation Feature Index Similarity and Object Detection for Semi-supervised Segmentation. In Ales Leonardis, Elisa Ricci 0001, Stefan Roth 0001, Olga Russakovsky, Torsten Sattler, Gül Varol, editors, Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXV. Volume 15133 of Lecture Notes in Computer Science, pages 456-474, Springer, 2024. [doi]

@inproceedings{HowladerLS24,
  title = {Weighting Pseudo-labels via High-Activation Feature Index Similarity and Object Detection for Semi-supervised Segmentation},
  author = {Prantik Howlader and Hieu Le 0001 and Dimitris Samaras},
  year = {2024},
  doi = {10.1007/978-3-031-73226-3_26},
  url = {https://doi.org/10.1007/978-3-031-73226-3_26},
  researchr = {https://researchr.org/publication/HowladerLS24},
  cites = {0},
  citedby = {0},
  pages = {456-474},
  booktitle = {Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXV},
  editor = {Ales Leonardis and Elisa Ricci 0001 and Stefan Roth 0001 and Olga Russakovsky and Torsten Sattler and Gül Varol},
  volume = {15133},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-73226-3},
}