SSMDA: Self-Supervised Cherry Maturity Detection Algorithm Based on Multi-Feature Contrastive Learning
Round 1
Reviewer 1 Report
The figures need to be improved in general, for example titles of figure 7 including (a), (b), etc, should be referred in the caption, and also appropriately discussed inside the text about the colors and so on. Moreover, a short explanation about overview of the figure should be provided in caption, for example figure 2.
The main focus of Abstract should be on representative outcomes of the study with only a very short explanation of the importance of this study, as a motivation for the readers. Please, rewrite this section.
I read the Introduction section, and I could not convince, at least, myself that “Why are the self-supervised cherry maturity detection utilized?” Please, provide detailed information to answer this critical question.
Please, satisfy the readers with the most representative references in the Section 1 and 4 about the data.
Provide justifications on why some measures and algorithms are selected to detect the objects but not others.
Section 5: The results should be appropriately discussed with more information about the features that the approach was unable to detect during the simulations. It would be a valuable practice to provide useful suggestions to overcome these weaknesses.
Author Response
Please see the attachment.
Author Response File: 
Author Response.pdf
Reviewer 2 Report
The paper introduces a type of contrastive loss-based algorithm and object detection algorithm for a small-sized object database. The paper implements the self-supervised algorithm for cherry fruit detection with occlusion.
The sentence framing of the citation in Line 26 is not perfect.
Line No 148 has to be reframed.
The section 3 could have included a comprehensive explanation of the YOLO-v5 ST or other architectural elements.
The section 4 does not tabulate the values of parameters related to NT-Xent given in Equation 1 and 2.
In section 4 the experimentation value of Equation 7 is missing.
The ablation experimentation is clearly analyzed.
Minor Editing for Language correction is needed.
Author Response
Please see the attachment
Author Response File: Author Response.pdf
