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.
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}
}
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