The difficulty of publishing journal papers in the field of computer vision (CV) varies due to many factors, including the innovation of research, the effectiveness of methods, the rigor of experiments and the quality of writing. Here are some factors that may affect the difficulty of publishing:

1. Research innovation: CV is a rapidly developing field, and a large number of new researches appear every year. Therefore, if you want to publish a paper in this field, your research needs to be innovative and put forward new problems, new methods or new viewpoints in view of existing problems.

2. Effectiveness of the method: Your research method needs to be effective and can solve the problems you raised. This may require a lot of experiments and verification.

3. Rigidity of the experiment: Your experiment needs to be rigorous and the results need to be repeatable. This means that you need to record your experimental process in detail, including the selection of data sets, the setting of models and the selection of evaluation indicators.

4. Writing quality: Your paper should have clear structure, strict logic and fluent language. In addition, you need to be familiar with the submission requirements of journals, including format and citation specifications.

5. Fierce competition: As resume is a hot research field, the competition is fierce. This means that you need to have enough patience and perseverance, and you may go through many revisions and reviews.

6. Mentor and team support: If you work under the guidance of an experienced mentor or in an experienced team, your research may be more successful.

Generally speaking, it is not easy to publish papers in CV journals, which requires a lot of time and energy. However, as long as your research is valuable, you may be published successfully.