Fully Quantized Training vs. Post-Training Quantization for a Small Hyperspectral Transformer Model for Pixel-Level Foreign Plastic Object Classification.
- DOI
- 10.3390/s26175531
- Published
- 2026-08-31
- Container
- Sensors (Basel)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s26175531,
title = {Fully Quantized Training vs. Post-Training Quantization for a Small Hyperspectral Transformer Model for Pixel-Level Foreign Plastic Object Classification.},
author = {Khan Z and Yoon SC and Bhandarkar SM.},
year = {2026},
journal = {Sensors (Basel)},
doi = {10.3390/s26175531},
url = {https://doi.org/10.3390/s26175531}
}RIS
TY - JOUR TI - Fully Quantized Training vs. Post-Training Quantization for a Small Hyperspectral Transformer Model for Pixel-Level Foreign Plastic Object Classification. AU - Khan Z AU - Yoon SC AU - Bhandarkar SM. PY - 2026 JO - Sensors (Basel) DO - 10.3390/s26175531 UR - https://doi.org/10.3390/s26175531 ER -
APA
Z, K., SC, Y., & SM., B. (2026). Fully Quantized Training vs. Post-Training Quantization for a Small Hyperspectral Transformer Model for Pixel-Level Foreign Plastic Object Classification.. Sensors (Basel). https://doi.org/10.3390/s26175531
Source records
- europe-pmc · retrieved 2026-09-25T03:00:20.756Z
- doaj · retrieved 2026-09-25T03:00:20.723Z