{
  "id": 307777,
  "title": "CALL FOR PAPERS: 9th Annual Workshop on Fine-Grained Visual Categorization at CVPR 2022",
  "url": "/competitions/herbarium-2022-fgvc9/discussion/307777",
  "author_name": "John Park",
  "post_date": "2022-02-15T15:36:21.518000",
  "votes": 5,
  "comment_count": 0,
  "views": 0,
  "content": "<p><strong>Call for Papers</strong></p>\n<p>Deadline for Submission - 25th March 2022 17:59 Pacific Standard Time</p>\n<p>Notification of Acceptance - 25th April 2022</p>\n<p>Camera Ready - 6th May 2022</p>\n<p>Workshop - 19th June 2022</p>\n<p>Submission Website - Submission is via CMT: <a href=\"https://cmt3.research.microsoft.com/FGVC2022\" target=\"_blank\">https://cmt3.research.microsoft.com/FGVC2022</a></p>\n<p>For information about whether the workshop will be in-person, virtual, or hybrid please visit the <a href=\"https://cvpr2022.thecvf.com/\" target=\"_blank\">CVPR 2022</a> website. </p>\n<p><strong>Submission and Reviews</strong></p>\n<p>We invite submission of 4 page (excluding references) extended abstracts (using the CVPR 2022 template) on topics related to fine-grained recognition. Reviewing of abstract submissions will be double-blind. The purpose of this workshop is not specifically as a venue for publication so much as a place to gather together those in the community working on or interested in FGVC. The workshop proceedings will not appear in the official CVPR 2022 workshop proceedings. Submissions of work which has been previously published, including papers accepted to the main CVPR 2022 conference are allowed.</p>\n<p>In the case of previously published work, it is not necessary for the authors to maintain anonymity. Instead, please cite the existing publication in the submitted abstract. These will be reviewed single-blind (much as a journal is reviewed: authors are known to reviewers, reviewers unknown to authors).</p>\n<p>Please mail <a>fgvcworkshop@googlegroups.com</a> with any questions. Follow twitter:<a href=\"https://twitter.com/fgvcworkshop\" target=\"_blank\">@fgvcworkshop</a>  </p>\n<p><strong>Scope</strong></p>\n<p>The purpose of this workshop is to bring together researchers to explore visual recognition across the continuum between basic level categorization and identification of individuals within a category population. Topics of interest include:</p>\n<p>Fine-grained categorization</p>\n<pre><code>- Novel datasets and data collection strategies for fine-grained categorization\n\n- Low/few shot learning\n\n- Self-supervised learning\n\n- Semi-supervised learning\n\n- Transfer-learning\n\n- Attribute and part based approaches\n\n- Taxonomic prediction\n\n- Long-tailed learning\n</code></pre>\n<p>Human-in-the-loop</p>\n<pre><code>- Fine-grained categorization with humans in the loop\n\n- Embedding human experts’ knowledge into computational models\n\n- Machine teaching\n\n- Interpretable fine-grained models\n</code></pre>\n<p>Multi-modal learning</p>\n<pre><code>- Using audio and video data\n\n- Using meta data e.g. geographical priors\n\n- Learning shape\n</code></pre>\n<p>Fine-grained applications</p>\n<pre><code>- Product recognition\n\n- Animal biometrics and camera traps\n\n- Museum collections\n\n- Agricultural\n\n- Medical\n\n- Fashion\n</code></pre>",
  "messages": [
    {
      "id": 1691756,
      "postDate": "2022-02-15T15:36:21.520Z",
      "content": "<p><strong>Call for Papers</strong></p>\n<p>Deadline for Submission - 25th March 2022 17:59 Pacific Standard Time</p>\n<p>Notification of Acceptance - 25th April 2022</p>\n<p>Camera Ready - 6th May 2022</p>\n<p>Workshop - 19th June 2022</p>\n<p>Submission Website - Submission is via CMT: <a href=\"https://cmt3.research.microsoft.com/FGVC2022\" target=\"_blank\">https://cmt3.research.microsoft.com/FGVC2022</a></p>\n<p>For information about whether the workshop will be in-person, virtual, or hybrid please visit the <a href=\"https://cvpr2022.thecvf.com/\" target=\"_blank\">CVPR 2022</a> website. </p>\n<p><strong>Submission and Reviews</strong></p>\n<p>We invite submission of 4 page (excluding references) extended abstracts (using the CVPR 2022 template) on topics related to fine-grained recognition. Reviewing of abstract submissions will be double-blind. The purpose of this workshop is not specifically as a venue for publication so much as a place to gather together those in the community working on or interested in FGVC. The workshop proceedings will not appear in the official CVPR 2022 workshop proceedings. Submissions of work which has been previously published, including papers accepted to the main CVPR 2022 conference are allowed.</p>\n<p>In the case of previously published work, it is not necessary for the authors to maintain anonymity. Instead, please cite the existing publication in the submitted abstract. These will be reviewed single-blind (much as a journal is reviewed: authors are known to reviewers, reviewers unknown to authors).</p>\n<p>Please mail <a>fgvcworkshop@googlegroups.com</a> with any questions. Follow twitter:<a href=\"https://twitter.com/fgvcworkshop\" target=\"_blank\">@fgvcworkshop</a>  </p>\n<p><strong>Scope</strong></p>\n<p>The purpose of this workshop is to bring together researchers to explore visual recognition across the continuum between basic level categorization and identification of individuals within a category population. Topics of interest include:</p>\n<p>Fine-grained categorization</p>\n<pre><code>- Novel datasets and data collection strategies for fine-grained categorization\n\n- Low/few shot learning\n\n- Self-supervised learning\n\n- Semi-supervised learning\n\n- Transfer-learning\n\n- Attribute and part based approaches\n\n- Taxonomic prediction\n\n- Long-tailed learning\n</code></pre>\n<p>Human-in-the-loop</p>\n<pre><code>- Fine-grained categorization with humans in the loop\n\n- Embedding human experts’ knowledge into computational models\n\n- Machine teaching\n\n- Interpretable fine-grained models\n</code></pre>\n<p>Multi-modal learning</p>\n<pre><code>- Using audio and video data\n\n- Using meta data e.g. geographical priors\n\n- Learning shape\n</code></pre>\n<p>Fine-grained applications</p>\n<pre><code>- Product recognition\n\n- Animal biometrics and camera traps\n\n- Museum collections\n\n- Agricultural\n\n- Medical\n\n- Fashion\n</code></pre>",
      "rawMarkdown": "**Call for Papers**\n\nDeadline for Submission - 25th March 2022 17:59 Pacific Standard Time\n\nNotification of Acceptance - 25th April 2022\n\nCamera Ready - 6th May 2022\n\nWorkshop - 19th June 2022\n\nSubmission Website - Submission is via CMT: https://cmt3.research.microsoft.com/FGVC2022\n\nFor information about whether the workshop will be in-person, virtual, or hybrid please visit the [CVPR 2022](https://cvpr2022.thecvf.com/) website. \n\n**Submission and Reviews**\n\nWe invite submission of 4 page (excluding references) extended abstracts (using the CVPR 2022 template) on topics related to fine-grained recognition. Reviewing of abstract submissions will be double-blind. The purpose of this workshop is not specifically as a venue for publication so much as a place to gather together those in the community working on or interested in FGVC. The workshop proceedings will not appear in the official CVPR 2022 workshop proceedings. Submissions of work which has been previously published, including papers accepted to the main CVPR 2022 conference are allowed.\n\nIn the case of previously published work, it is not necessary for the authors to maintain anonymity. Instead, please cite the existing publication in the submitted abstract. These will be reviewed single-blind (much as a journal is reviewed: authors are known to reviewers, reviewers unknown to authors).\n\nPlease mail fgvcworkshop@googlegroups.com with any questions. Follow twitter:[@fgvcworkshop](https://twitter.com/fgvcworkshop)  \n\n\n**Scope**\n\nThe purpose of this workshop is to bring together researchers to explore visual recognition across the continuum between basic level categorization and identification of individuals within a category population. Topics of interest include:\n\n\nFine-grained categorization\n\n    - Novel datasets and data collection strategies for fine-grained categorization\n\n    - Low/few shot learning\n\n    - Self-supervised learning\n\n    - Semi-supervised learning\n\n    - Transfer-learning\n\n    - Attribute and part based approaches\n\n    - Taxonomic prediction\n\n    - Long-tailed learning\n\n\nHuman-in-the-loop\n\n    - Fine-grained categorization with humans in the loop\n\n    - Embedding human experts’ knowledge into computational models\n\n    - Machine teaching\n\n    - Interpretable fine-grained models\n\n\nMulti-modal learning\n\n    - Using audio and video data\n\n    - Using meta data e.g. geographical priors\n\n    - Learning shape\n\n\nFine-grained applications\n\n    - Product recognition\n\n    - Animal biometrics and camera traps\n\n    - Museum collections\n\n    - Agricultural\n\n    - Medical\n\n    - Fashion",
      "votes": 5
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1691756": "**Call for Papers**\n\nDeadline for Submission - 25th March 2022 17:59 Pacific Standard Time\n\nNotification of Acceptance - 25th April 2022\n\nCamera Ready - 6th May 2022\n\nWorkshop - 19th June 2022\n\nSubmission Website - Submission is via CMT: https://cmt3.research.microsoft.com/FGVC2022\n\nFor information about whether the workshop will be in-person, virtual, or hybrid please visit the [CVPR 2022](https://cvpr2022.thecvf.com/) website. \n\n**Submission and Reviews**\n\nWe invite submission of 4 page (excluding references) extended abstracts (using the CVPR 2022 template) on topics related to fine-grained recognition. Reviewing of abstract submissions will be double-blind. The purpose of this workshop is not specifically as a venue for publication so much as a place to gather together those in the community working on or interested in FGVC. The workshop proceedings will not appear in the official CVPR 2022 workshop proceedings. Submissions of work which has been previously published, including papers accepted to the main CVPR 2022 conference are allowed.\n\nIn the case of previously published work, it is not necessary for the authors to maintain anonymity. Instead, please cite the existing publication in the submitted abstract. These will be reviewed single-blind (much as a journal is reviewed: authors are known to reviewers, reviewers unknown to authors).\n\nPlease mail fgvcworkshop@googlegroups.com with any questions. Follow twitter:[@fgvcworkshop](https://twitter.com/fgvcworkshop)  \n\n\n**Scope**\n\nThe purpose of this workshop is to bring together researchers to explore visual recognition across the continuum between basic level categorization and identification of individuals within a category population. Topics of interest include:\n\n\nFine-grained categorization\n\n    - Novel datasets and data collection strategies for fine-grained categorization\n\n    - Low/few shot learning\n\n    - Self-supervised learning\n\n    - Semi-supervised learning\n\n    - Transfer-learning\n\n    - Attribute and part based approaches\n\n    - Taxonomic prediction\n\n    - Long-tailed learning\n\n\nHuman-in-the-loop\n\n    - Fine-grained categorization with humans in the loop\n\n    - Embedding human experts’ knowledge into computational models\n\n    - Machine teaching\n\n    - Interpretable fine-grained models\n\n\nMulti-modal learning\n\n    - Using audio and video data\n\n    - Using meta data e.g. geographical priors\n\n    - Learning shape\n\n\nFine-grained applications\n\n    - Product recognition\n\n    - Animal biometrics and camera traps\n\n    - Museum collections\n\n    - Agricultural\n\n    - Medical\n\n    - Fashion"
  }
}