Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
May 8, 2024Measurement Science and Technology

Enhancing automated inspection in metal industries: zero-shot segmentation of surface defects using bounding box prompts

View Full Paper
Ask AI
Bookmark
Share

Authors

DLDarío G. LemaRURubén UsamentiagaDGDaniel F. García

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Lema et al. (2024) studied this question.

synapsesocial.com/papers/68e6b01bb6db6435876316bbhttps://doi.org/10.1088/1361-6501/ad48a4
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Automatic segmentation of metal surface defects with noise label2024 · 1 citations
  2. 2Data-Driven Semantic Segmentation Method for Detecting Metal Surface Defects2024 · 4 citations
  3. 3High accuracy and lightweight surface defect detection of metal strips based on improved YOLOv5s2026
  4. 4LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation2024 · 1 citations
  5. 5A Defect Detection Method Based on YOLOv7 for Automated Remanufacturing2024 · 14 citations