AAAI 2026technical0 citations
Mix-QSAM2: Mixed-Precision Quantization for High Fidelity Segmentation in Resource Constrained Scenarios
Yuzhe Duan, Xuanxuan Ren, Guizhe Dong, Xu Yang, Yanhua Yang
Abstract
The Segment Anything Model 2 (SAM2) has established a new benchmark for high-precision image and video segmentation, offering significant potential for a wide range of computer vision tasks. Despite its impressive performance, the model
BibTeX
@inproceedings{aaai2026_mixqsam2mixedpre,
title = {Mix-QSAM2: Mixed-Precision Quantization for High Fidelity Segmentation in Resource Constrained Scenarios},
author = {Yuzhe Duan and Xuanxuan Ren and Guizhe Dong and Xu Yang and Yanhua Yang},
booktitle = {AAAI 2026},
year = {2026}
}