A mixed-precision post-training quantization method for SAM that allocates bit-widths via an integer quadratic program guided by KL-divergence importance scores and a cross-layer synergy heuristic.
Crowd-SAM: Sam as a smart annotator for object detection in crowded scenes
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model
A mixed-precision post-training quantization method for SAM that allocates bit-widths via an integer quadratic program guided by KL-divergence importance scores and a cross-layer synergy heuristic.