Optimizing Neural Network Effectiveness via Non-monotonicity Refinement. Biswas, K., Reza, A., Karri, M., Jha, D., Pan, H., Tomar, N. K., Subedi, A., Regmi, S., & Bagci, U. In IEEE/CVF Winter Conference on Applications of Computer Vision, WACV 2025, Tucson, AZ, USA, February 26 - March 6, 2025, pages 4300–4309, 2025.
Optimizing Neural Network Effectiveness via Non-monotonicity Refinement [link]Paper  doi  bibtex   
@inproceedings{DBLP:conf/wacv/BiswasRKJPTSRB25,
  author       = {Koushik Biswas and
                  Amit Reza and
                  Meghana Karri and
                  Debesh Jha and
                  Hongyi Pan and
                  Nikhil Kumar Tomar and
                  Aliza Subedi and
                  Smriti Regmi and
                  Ulas Bagci},
  title        = {Optimizing Neural Network Effectiveness via Non-monotonicity Refinement},
  booktitle    = {{IEEE/CVF} Winter Conference on Applications of Computer Vision, {WACV}
                  2025, Tucson, AZ, USA, February 26 - March 6, 2025},
  pages        = {4300--4309},
  year         = {2025},
  crossref     = {DBLP:conf/wacv/2025},
  url          = {https://doi.org/10.1109/WACV61041.2025.00422},
  doi          = {10.1109/WACV61041.2025.00422},
  timestamp    = {Wed, 23 Apr 2025 08:48:43 +0200},
  biburl       = {https://dblp.org/rec/conf/wacv/BiswasRKJPTSRB25.bib},
  bibsource    = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0