Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection

• URL: http://arxiv.org/abs/2207.13505v1
• Date: Wed, 27 Jul 2022 13:15:54 GMT
• Title: Multi-Forgery Detection Challenge 2022: Push the Frontier of Unconstrained and Diverse Forgery Detection
• Authors: Jianshu Li, Man Luo, Jian Liu, Tao Chen, Chengjie Wang, Ziwei Liu, Shuo Liu, Kewei Yang, Xuning Shao, Kang Chen, Boyuan Liu, Mingyu Guo, Ying Guo, Yingying Ao, Pengfei Gao
• Abstract summary: The challenge has attracted 674 teams from all over the world, with about 2000 valid result submission counts. In this paper, we present the solutions from the Top 3 teams, in order to boost the research work in the field of image forgery detection.
• Score: 38.94229864198983
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: In this paper, we present the Multi-Forgery Detection Challenge held concurrently with the IEEE Computer Society Workshop on Biometrics at CVPR 2022. Our Multi-Forgery Detection Challenge aims to detect automatic image manipulations including but not limited to image editing, image synthesis, image generation, image photoshop, etc. Our challenge has attracted 674 teams from all over the world, with about 2000 valid result submission counts. We invited the Top 10 teams to present their solutions to the challenge, from which three teams are awarded prizes in the grand finale. In this paper, we present the solutions from the Top 3 teams, in order to boost the research work in the field of image forgery detection.

Related papers

• IMC 2024 Methods & Solutions Review [0.0]
  Kaggle has been hosting the Image Matching Challenge for the past three years. This competition focuses on solving a 3D image reconstruction problem using a collection of 2D images. We introduce an advanced ensemble technique that we developed, achieving a score of 0.153449 on the private leaderboard.
  arXiv  Detail & Related papers  (2024-07-03T14:47:18Z)
• NTIRE 2022 Challenge on Perceptual Image Quality Assessment [90.04931572825859]
  This paper reports on the NTIRE 2022 challenge on perceptual image quality assessment (IQA) The challenge is held to address the emerging challenge of IQA by perceptual image processing algorithms. The winning method can demonstrate state-of-the-art performance.
  arXiv  Detail & Related papers  (2022-06-23T13:36:49Z)
• NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results [116.8625268729599]
  NTIRE challenge has 1 track aiming at the stereo image super-resolution problem under a standard bicubic degradation. In total, 238 participants were successfully registered, and 21 teams competed in the final testing phase. This challenge establishes a new benchmark for stereo image SR.
  arXiv  Detail & Related papers  (2022-04-20T02:55:37Z)
• NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results [116.77874476501913]
  Given a noisy burst as input, the task in the challenge was to generate a clean RGB image with 4 times higher resolution. The challenge contained two tracks; Track 1 evaluating on synthetically generated data, and Track 2 using real-world bursts from mobile camera. The top-performing methods set a new state-of-the-art for the burst super-resolution task.
  arXiv  Detail & Related papers  (2021-06-07T17:55:28Z)
• DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results [144.5252578415748]
  This paper reports methods and results in the DeeperForensics Challenge 2020 on real-world face forgery detection. The challenge employs the DeeperForensics-1.0 dataset, with 60,000 videos constituted by a total of 17.6 million frames. A total of 115 participants registered for the competition, and 25 teams made valid submissions.
  arXiv  Detail & Related papers  (2021-02-18T16:48:57Z)
• NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results [148.54397669654958]
  This paper reviews the NTIRE 2020 challenge on real world super-resolution. The challenge addresses the real world setting, where paired true high and low-resolution images are unavailable. In total 22 teams competed in the final testing phase, demonstrating new and innovative solutions to the problem.
  arXiv  Detail & Related papers  (2020-05-05T08:17:04Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.