ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2501.06357
  4. Cited By
Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity

Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity

10 January 2025
Navin Ranjan
Andreas E. Savakis
    MQ
ArXivPDFHTML

Papers citing "Mix-QViT: Mixed-Precision Vision Transformer Quantization Driven by Layer Importance and Quantization Sensitivity"

1 / 1 papers shown
Title
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model
Mix-QSAM: Mixed-Precision Quantization of the Segment Anything Model
Navin Ranjan
Andreas E. Savakis
MQ
VLM
61
0
0
08 May 2025
1