Computer Vision For COVID-19 Control: A Survey
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Abstract (arXiv)
The COVID-19 pandemic has triggered an urgent need to contribute to the fight against an immense threat to the human population. Computer Vision, as a subfield of Artificial Intelligence, has enjoyed recent success in solving various complex problems in health care and has the potential to contribute to the fight of controlling COVID-19. In response to this call, computer vision researchers are putting their knowledge base at work to devise effective ways to counter COVID-19 challenge and serve the global community. New contributions are being shared with every passing day. It motivated us to review the recent work, collect information about available research resources and an indication of future research directions. We want to make it available to computer vision researchers to save precious time. This survey paper is intended to provide a preliminary review of the available literature on the computer vision efforts against COVID-19 pandemic.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Apr 2020.
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Citing papers per year: 2021: 4; 2022: 3; 2023: 1; 2024: 1.
9 papers.
- 2021Self-supervised deep convolutional neural network for chest X-ray classificationcited by 16
- 2022Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directionscited by 11
- 2021COVID-19 Modeling: A Reviewcited by 7
- 2021Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Coughcited by 7
- 2022A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19cited by 5
- 2022A Survey on Computer Vision based Human Analysis in the COVID-19 Eracited by 3
- 2021Neural Networks for Infectious Diseases Detection: Prospects and Challengescited by 0
- 2023Human Behavior in the Time of COVID-19: Learning from Big Datacited by 0
- 2024Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studiescited by 0
- 2024Ultrasound-Based AI for COVID-19 Detection: A Comprehensive Review of Public and Private Lung Ultrasound Datasets and Studies6 Nov 2024
- 2023Human Behavior in the Time of COVID-19: Learning from Big Data23 Mar 2023
- 2022A Survey on Computer Vision based Human Analysis in the COVID-19 Era7 Nov 2022
- 2022Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions9 Sep 2022
- 2022A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-1913 Jan 2022
- 2021Neural Networks for Infectious Diseases Detection: Prospects and Challenges7 Dec 2021
- 2021Project Achoo: A Practical Model and Application for COVID-19 Detection from Recordings of Breath, Voice, and Cough12 Jul 2021
- 2021COVID-19 Modeling: A Review16 Apr 2021
- 2021Self-supervised deep convolutional neural network for chest X-ray classification4 Mar 2021