{
  "id": "2305.06773",
  "version": "v1",
  "published": "2023-05-11T12:54:10.000Z",
  "updated": "2023-05-11T12:54:10.000Z",
  "title": "Towards a Better Understanding of the Computer Vision Research Community in Africa",
  "authors": [
    "Abdul-Hakeem Omotayo",
    "Mai Gamal",
    "Eman Ehab",
    "Gbetondji Dovonon",
    "Zainab Akinjobi",
    "Ismaila Lukman",
    "Houcemeddine Turki",
    "Mahmod Abdien",
    "Idriss Tondji",
    "Abigail Oppong",
    "Yvan Pimi",
    "Karim Gamal",
    "Ro'ya-CV4Africa",
    "Mennatullah Siam"
  ],
  "comment": "This work is part of our African computer vision grassroots research in Ro'ya - CV4Africa, https://ro-ya-cv4africa.github.io/homepage/",
  "categories": [
    "cs.CV"
  ],
  "abstract": "Computer vision is a broad field of study that encompasses different tasks (e.g., object detection, semantic segmentation, 3D reconstruction). Although computer vision is relevant to the African communities in various applications, yet computer vision research is under-explored in the continent and constructs only 0.06% of top-tier publications in the last 10 years. In this paper, our goal is to have a better understanding of the computer vision research conducted in Africa and provide pointers on whether there is equity in research or not. We do this through an empirical analysis of the African computer vision publications that are Scopus indexed. We first study the opportunities available for African institutions to publish in top-tier computer vision venues. We show that African publishing trends in top-tier venues over the years do not exhibit consistent growth. We also devise a novel way to retrieve African authors through their affiliation history to have a better understanding of their contributions in top-tier venues. Moreover, we study all computer vision publications beyond top-tier venues in different African regions to find that mainly Northern and Southern Africa are publishing in computer vision with more than 85% of African publications. Finally, we present the most recurring keywords in computer vision publications. In summary, our analysis reveals that African researchers are key contributors to African research, yet there exists multiple barriers to publish in top-tier venues and the current trend of topics published in the continent might not necessarily reflect the communities' needs. This work is part of a community based effort that is focused on improving computer vision research in Africa.",
  "revisions": [
    {
      "version": "v1",
      "updated": "2023-05-11T12:54:10.000Z"
    }
  ],
  "analyses": {
    "keywords": [
      "computer vision research community",
      "better understanding",
      "top-tier venues",
      "top-tier computer vision venues",
      "african computer vision publications"
    ],
    "tags": [
      "github project"
    ],
    "note": {
      "typesetting": "TeX",
      "pages": 0,
      "language": "en",
      "license": "arXiv",
      "status": "editable"
    }
  }
}