A new Fisher-information-based reconstruction loss, DPLR-FIM, improves low-bit post-training quantization accuracy for Vision Transformers without specialized quantizers.
Packqvit: Faster sub-8-bit vision transformers via full and packed quantization on the mobile
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
cs.CV 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
FIMA-Q: Post-Training Quantization for Vision Transformers by Fisher Information Matrix Approximation
A new Fisher-information-based reconstruction loss, DPLR-FIM, improves low-bit post-training quantization accuracy for Vision Transformers without specialized quantizers.