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. 2104.04203
  4. Cited By
TaylorMade VDD: Domain-adaptive Visual Defect Detector for High-mix
  Low-volume Production of Non-convex Cylindrical Metal Objects

TaylorMade VDD: Domain-adaptive Visual Defect Detector for High-mix Low-volume Production of Non-convex Cylindrical Metal Objects

9 April 2021
Kyosuke Tashiro
Koji Takeda
Kanji Tanaka
Hiroki Tomoe
ArXivPDFHTML

Papers citing "TaylorMade VDD: Domain-adaptive Visual Defect Detector for High-mix Low-volume Production of Non-convex Cylindrical Metal Objects"

Title
No papers