{
  "id": 511477,
  "title": "Finalizing the BugNIST competition",
  "url": "/competitions/bugnist2024fgvc/discussion/511477",
  "author_name": "Anders Bjorholm Dahl",
  "post_date": "2024-06-10T21:34:46.204000",
  "votes": 2,
  "comment_count": 0,
  "views": 0,
  "content": "<p>To all participants in the BugNIST competition,</p>\n<p>Thank you for taking part in the BugNIST2024 competition. </p>\n<p>The result of the BugNIST2024 competition will be presented at the FGVC11 workshop at CVPR next week, where we will present the findings of the competition. To prepare for that, I need a short description of your approach.</p>\n<p>Please send me a short description via e-mail (abda@dtu.dk) of the principles of your approach that I will present at FGVC next week. I will also need your team name.</p>\n<p>We also plan to make a joint paper based on the submissions. If you are interested in contributing to that, you should prepare a 1-2 page technical description of your approach. The paper will focus on detecting objects in complex volumes under domain shift, where you only train on isolated instances. We will also need your code to be able to reproduce your results.</p>\n<p>I am looking forward to receiving your input.</p>\n<p>Best,<br>\nAnders Dahl, DTU</p>",
  "messages": [
    {
      "id": 2865635,
      "postDate": "2024-06-10T21:34:46.203Z",
      "content": "<p>To all participants in the BugNIST competition,</p>\n<p>Thank you for taking part in the BugNIST2024 competition. </p>\n<p>The result of the BugNIST2024 competition will be presented at the FGVC11 workshop at CVPR next week, where we will present the findings of the competition. To prepare for that, I need a short description of your approach.</p>\n<p>Please send me a short description via e-mail (abda@dtu.dk) of the principles of your approach that I will present at FGVC next week. I will also need your team name.</p>\n<p>We also plan to make a joint paper based on the submissions. If you are interested in contributing to that, you should prepare a 1-2 page technical description of your approach. The paper will focus on detecting objects in complex volumes under domain shift, where you only train on isolated instances. We will also need your code to be able to reproduce your results.</p>\n<p>I am looking forward to receiving your input.</p>\n<p>Best,<br>\nAnders Dahl, DTU</p>",
      "rawMarkdown": "To all participants in the BugNIST competition,\n\nThank you for taking part in the BugNIST2024 competition. \n\nThe result of the BugNIST2024 competition will be presented at the FGVC11 workshop at CVPR next week, where we will present the findings of the competition. To prepare for that, I need a short description of your approach.\n\nPlease send me a short description via e-mail (abda@dtu.dk) of the principles of your approach that I will present at FGVC next week. I will also need your team name.\n\nWe also plan to make a joint paper based on the submissions. If you are interested in contributing to that, you should prepare a 1-2 page technical description of your approach. The paper will focus on detecting objects in complex volumes under domain shift, where you only train on isolated instances. We will also need your code to be able to reproduce your results.\n\nI am looking forward to receiving your input.\n\nBest,\nAnders Dahl, DTU",
      "votes": 2
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "2865635": "To all participants in the BugNIST competition,\n\nThank you for taking part in the BugNIST2024 competition. \n\nThe result of the BugNIST2024 competition will be presented at the FGVC11 workshop at CVPR next week, where we will present the findings of the competition. To prepare for that, I need a short description of your approach.\n\nPlease send me a short description via e-mail (abda@dtu.dk) of the principles of your approach that I will present at FGVC next week. I will also need your team name.\n\nWe also plan to make a joint paper based on the submissions. If you are interested in contributing to that, you should prepare a 1-2 page technical description of your approach. The paper will focus on detecting objects in complex volumes under domain shift, where you only train on isolated instances. We will also need your code to be able to reproduce your results.\n\nI am looking forward to receiving your input.\n\nBest,\nAnders Dahl, DTU"
  }
}