An Adaptive Multitask Network for Detecting the Region of Water Leakage in Tunnels

Round 1

Reviewer 1 Report

see the report.

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Review comments on “An adaptive multitask network for detecting the region of water leakage in tunnels” by Liang Zhao etl.

This work presents a multilevel transformer network and an adaptive multitask decoder, which addresses the challenge of extracting edge details of water leakage identification in tunnels and realizes intelligent and high-precision detection of tunnel water leakage diseases in complex environments.

My main general comments are as below: 

- The authors didn’t provide a comparison of the performances on training and testing sets. The authors should investigate experimentally the overfitting of the proposed method.

- The authors should share the dataset.

- The authors should share the proposed model.

- It is necessary to conduct a study of data preprocessing methods.

- The authors should investigate the stability of the proposed model because image can be degraded by additive noise, in the presence of cluttering backgrounds, geometric modifications such as pose changing and scaling, nonuniform illumination, and eventual object occlusions.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 1 Report

The authors' reply is exhaustive.