Skip to content

Code for TII 2024 paper. MINet: Multiscale Interactive Network for Real-Time Salient Object Detection of Strip Steel Surface Defects

Notifications You must be signed in to change notification settings

Kunye-Shen/MINet

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

7 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MINet (TII 2024)

MINet: Multiscale Interactive Network for Real-Time Salient Object Detection of Strip Steel Surface Defects, Kunye ShenXiaofei Zhou,and Zhi Liu.

Required libraries

numpy 1.18.1
Python 3.7
PyTorch 1.4.0
torchvision 0.5.0

Usage

  1. Clone this repo
https://github.com/Kunye-Shen/MINet.git
  1. We also provide the predicted saliency maps (GoogleDrive or baidu extraction code: rokb.).

MI Module

MI Module

Quantitative Comparison

Quantitative Comparison

Qualitative Comparison

Qualitative Comparison

About

Code for TII 2024 paper. MINet: Multiscale Interactive Network for Real-Time Salient Object Detection of Strip Steel Surface Defects

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages