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Imbalance Problems in Object Detection: A Review (1909.00169v3)

Published 31 Aug 2019 in cs.CV

Abstract: In this paper, we present a comprehensive review of the imbalance problems in object detection. To analyze the problems in a systematic manner, we introduce a problem-based taxonomy. Following this taxonomy, we discuss each problem in depth and present a unifying yet critical perspective on the solutions in the literature. In addition, we identify major open issues regarding the existing imbalance problems as well as imbalance problems that have not been discussed before. Moreover, in order to keep our review up to date, we provide an accompanying webpage which catalogs papers addressing imbalance problems, according to our problem-based taxonomy. Researchers can track newer studies on this webpage available at: https://github.com/kemaloksuz/ObjectDetectionImbalance .

Evaluating the IEEEtran.cls Template for IEEE Computer Society Journals

In the field of academic writing for IEEE journals, standardized templates are pivotal for ensuring consistency and professionalism. The paper "Bare Advanced Demo of IEEEtran.cls for IEEE Computer Society Journals," authored by Michael Shell and colleagues, focuses on the structure and usage of the IEEEtran.cls LaTeX class file, emphasizing its applications and functionalities suited to IEEE publications.

Key Aspects of the Study

The paper is fundamentally a demonstration document, serving as a foundational resource for authors aiming to utilize the IEEEtran.cls template. Its primary goal is to provide a comprehensive guide on formatting and submission requirements according to IEEE standards. Although the paper does not delve into novel research contributions or technological advancements, it holds substantial practical relevance for the academic community, particularly for those affiliated with the IEEE.

Technical Overview

The paper outlines various components of the IEEEtran.cls file and its compatibility with LaTeX, a typesetting system commonly employed for the creation of complex documents. Specific elements include:

  • Document Class Customization: The document illustrates how to effectively use the IEEEtran.cls class file, adapting it for different types of content such as regular articles, letters, and technical notes.
  • Section and Subsection Structuring: Authors are guided on delineating sections and subsections in alignment with IEEE style guidelines, which is crucial for maintaining clarity and readability in scholarly articles.
  • Integration of Figures and Tables: The template supports advanced capabilities for incorporating figures and tables, ensuring proper alignment and formatting, which are frequently cited areas of concern in the peer review process.

Numerical Results and Claims

As this document is a template guide, it does not present empirical work or simulations. Therefore, there are no numeric results or bold claims typically associated with scientific papers. Instead, the document provides insights into the meticulous attention to format details that support the seamless dissemination of research findings.

Implications and Speculative Future Directions

The implications of this paper are primarily operational within the sphere of scholarly publishing. By standardizing the format, the IEEEtran.cls template ensures that researchers can focus more on the content quality rather than formatting challenges. This consistency aids in streamlining the peer-review process, potentially accelerating the publication timeline.

Looking forward, as LaTeX and document preparation tools evolve, there may be opportunities to enhance these templates with features that further facilitate collaboration and integration with data science tools. The development of more dynamic document elements, like interactive figures or enhanced metadata integration, could be an area for future exploration.

In conclusion, while the "Bare Advanced Demo of IEEEtran.cls for IEEE Computer Society Journals" paper does not contribute new scientific knowledge, its influence on academic publishing processes is noteworthy. By offering a structured approach to document preparation, it underpins the efficient communication of research across the IEEE community.

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Authors (4)
  1. Sinan Kalkan (36 papers)
  2. Kemal Oksuz (14 papers)
  3. Baris Can Cam (8 papers)
  4. Emre Akbas (32 papers)
Citations (430)