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Article
Peer-Review Record

A Rotating Object Detector with Convolutional Dynamic Adaptive Matching

Appl. Sci. 2024, 14(2), 633; https://doi.org/10.3390/app14020633
by Leibo Yu 1, Yu Zhou 2, Xianglong Li 1, Shiquan Hu 1 and Dongling Jing 3,*
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3: Anonymous
Reviewer 4: Anonymous
Appl. Sci. 2024, 14(2), 633; https://doi.org/10.3390/app14020633
Submission received: 29 November 2023 / Revised: 6 January 2024 / Accepted: 7 January 2024 / Published: 11 January 2024
(This article belongs to the Special Issue Deep Learning in Satellite Remote Sensing Applications)

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors

find the attached file 

Comments for author File: Comments.pdf

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

The received article "A Rotating Object Detector with Convolutional Dynamic Adaptive Matching" presents a new structure to improve the performance of CNN networks to effectively extract high aspect ratio and multi-directional features of aerial targets. In general, the manuscript has examined different aspects of the problem with different experiments. Observing the following points will help to make the article richer:

Comment1:

The caption of the figures does not fully explain the figures. For example, the caption of Figure 2 is insufficient.

Comment2:

It is better to provide the access link of each dataset in the dataset section.

Comment3:

The conclusion section is presented very briefly. more points need to be mentioned in it.

Comment4:

 

One of the important parameters in choosing a model is its execution time. Examining the execution time of the proposed model with other models can reveal the advantages or disadvantages of the proposed method.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

I am not at all convinced about the novelty of the mechanism. This is a very well addressed topic but the authors have done a poor job for the literature review. Take for instance this paper:

Hua, Z. et al., "AF-OSD: An Anchor-Free Oriented Ship Detector Based on Multi-Scale Dense-Point Rotation Gaussian Heatmap," remote sensing, 2023, 15, 1120. https://doi.org/10.3390/rs15041120

Some of the concepts are kind of similar to what is presented in the above paper. As for the amount of contribution, I would opine that the work may be better suitable for a conference. The technical novelty is low and the key parts have similarity with already existing ideas and concepts. Hence, I am not in favor or this work.

Comments on the Quality of English Language

Okay, but may need more polishing.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 4 Report

Comments and Suggestions for Authors

After reading the paper entitled: "A Rotating Object Detector with Convolutional Dynamic Adaptive Matching", I have to say that the paper is recommended for possible publication after major revision. The following issues that need to be considered or answered.

1- Explain in details the contents of the equations, for example, equation (2).

2-The figure 4 is not clear. What is explain? 

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Round 2

Reviewer 1 Report

Comments and Suggestions for Authors

no comments

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

Reviewer 2 Report

Comments and Suggestions for Authors

Accept

Author Response

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Author Response File: Author Response.pdf

Reviewer 3 Report

Comments and Suggestions for Authors

Not convinced. Strong reject.

Comments on the Quality of English Language

Must be improved.

Author Response

Please see the attachment.

Author Response File: Author Response.pdf

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