VisionMX: Unlocking Microscaling Post-Training Quantization for Vision Models
cs.CV
Submitted: 2026-10-02
Updated: 2026-10-02
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Rethinking Atrous Convolution for Semantic Image Segmentation
- HPTQ: Hardware-Friendly Post Training Quantization
- FAAR: Format-Aware Adaptive Rounding for NVFP4
- Microscaling Data Formats for Deep Learning
- Characterizing the Impact of NVFP4 Quantization for Low-Power Edge AI Deployment
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