{
  "id": 146610,
  "title": "Paper worth mentioning",
  "url": "/competitions/alaska2-image-steganalysis/discussion/146610",
  "author_name": "Xuan Cao",
  "post_date": "2020-04-27T20:18:05.059000",
  "votes": 43,
  "comment_count": 13,
  "views": 0,
  "content": "<p>This <a href=\"https://arxiv.org/pdf/1704.08378.pdf\">paper</a> comes out as the first recommendation by google. </p>\n\n<p>Author is also a top kaggler 😃 </p>",
  "messages": [
    {
      "id": 823700,
      "postDate": "2020-04-27T20:18:05.060Z",
      "content": "<p>This <a href=\"https://arxiv.org/pdf/1704.08378.pdf\">paper</a> comes out as the first recommendation by google. </p>\n\n<p>Author is also a top kaggler 😃 </p>",
      "rawMarkdown": "This [paper](https://arxiv.org/pdf/1704.08378.pdf) comes out as the first recommendation by google. \n\nAuthor is also a top kaggler 😃 ",
      "votes": 41
    },
    {
      "id": 823818,
      "postDate": "2020-04-27T23:25:33.210Z",
      "content": "<p>Here is a notebook to test the out-of-box performance of SRNet: </p>\n\n<p><a href=\"https://www.kaggle.com/naivelamb/alaska2-srnet-baseline-inference\">https://www.kaggle.com/naivelamb/alaska2-srnet-baseline-inference</a></p>",
      "rawMarkdown": "Here is a notebook to test the out-of-box performance of SRNet: \n\nhttps://www.kaggle.com/naivelamb/alaska2-srnet-baseline-inference",
      "votes": 6
    },
    {
      "id": 824083,
      "postDate": "2020-04-28T06:28:25.707Z",
      "content": "<p>Some sequel paper to SRNet : </p>\n\n<p>Breaking ALASKA: Color separation for steganalysis in JPEG domain\nY Yousfi, J Butora, J Fridrich, Q Giboulot - Proceedings of the ACM …, 2019</p>\n\n<p><a href=\"https://dl.acm.org/doi/pdf/10.1145/3335203.333572\">https://dl.acm.org/doi/pdf/10.1145/3335203.333572</a>`</p>",
      "rawMarkdown": "Some sequel paper to SRNet : \n\nBreaking ALASKA: Color separation for steganalysis in JPEG domain\nY Yousfi, J Butora, J Fridrich, Q Giboulot - Proceedings of the ACM …, 2019\n\nhttps://dl.acm.org/doi/pdf/10.1145/3335203.333572`\n",
      "votes": 4,
      "replies": [
        {
          "id": 824734,
          "postDate": "2020-04-28T15:03:24.510Z",
          "content": "<p>You might be able to find the first author of the paper <a href=\"/yousfi\">@yousfi</a> somewhere on the leaderboard 😃 </p>",
          "rawMarkdown": "You might be able to find the first author of the paper @yousfi somewhere on the leaderboard 😃 ",
          "votes": 3
        },
        {
          "id": 825016,
          "postDate": "2020-04-28T18:17:21.987Z",
          "content": "<p>yes, looks like we have a clear favorite for this comp haha\nat his github you can find more information (and pretrained weights): <a href=\"https://github.com/YassineYousfi/alaska\">https://github.com/YassineYousfi/alaska</a></p>",
          "rawMarkdown": "yes, looks like we have a clear favorite for this comp haha\nat his github you can find more information (and pretrained weights): https://github.com/YassineYousfi/alaska",
          "votes": 1
        }
      ]
    },
    {
      "id": 823727,
      "postDate": "2020-04-27T20:56:38.333Z",
      "content": "<p>Interesting suggestion ! I actually did not noticed it \nI Will have a look, thanks for the suggestion ! 👍 </p>",
      "rawMarkdown": "Interesting suggestion ! I actually did not noticed it \nI Will have a look, thanks for the suggestion ! 👍 ",
      "votes": 2
    },
    {
      "id": 824121,
      "postDate": "2020-04-28T06:57:57.390Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 824082,
      "postDate": "2020-04-28T06:27:51.593Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 824011,
      "postDate": "2020-04-28T05:13:08.913Z",
      "rawMarkdown": "",
      "isDeleted": true
    },
    {
      "id": 823749,
      "postDate": "2020-04-27T21:21:00.283Z",
      "rawMarkdown": "",
      "votes": 1,
      "isDeleted": true,
      "replies": [
        {
          "id": 823771,
          "postDate": "2020-04-27T21:53:44.040Z",
          "content": "<p>Thanks for pointing out, I will have a look. </p>",
          "rawMarkdown": "Thanks for pointing out, I will have a look. "
        },
        {
          "id": 824124,
          "postDate": "2020-04-28T07:01:10.753Z",
          "content": "<p>Terrific ! Thanks for the notebook and the reference.\nBy the way, can someone provide us with a link for XuNet (v2) since I am not sure which one you refer to :/</p>",
          "rawMarkdown": "Terrific ! Thanks for the notebook and the reference.\nBy the way, can someone provide us with a link for XuNet (v2) since I am not sure which one you refer to :/"
        },
        {
          "id": 824354,
          "postDate": "2020-04-28T10:17:49.663Z",
          "rawMarkdown": "",
          "isDeleted": true
        }
      ]
    },
    {
      "id": 824042,
      "postDate": "2020-04-28T05:56:40.777Z",
      "content": "<p>Thank you for sharing :)</p>",
      "rawMarkdown": "Thank you for sharing :)"
    }
  ],
  "comments": [
    {
      "id": 823818,
      "author_name": "Xuan Cao",
      "author_url": "",
      "post_date": "2020-04-27T23:25:33.210000",
      "content": "<p>Here is a notebook to test the out-of-box performance of SRNet: </p>\n\n<p><a href=\"https://www.kaggle.com/naivelamb/alaska2-srnet-baseline-inference\">https://www.kaggle.com/naivelamb/alaska2-srnet-baseline-inference</a></p>",
      "votes": 6,
      "replies": []
    },
    {
      "id": 824083,
      "author_name": "Neuron Engineer",
      "author_url": "",
      "post_date": "2020-04-28T06:28:25.707000",
      "content": "<p>Some sequel paper to SRNet : </p>\n\n<p>Breaking ALASKA: Color separation for steganalysis in JPEG domain\nY Yousfi, J Butora, J Fridrich, Q Giboulot - Proceedings of the ACM …, 2019</p>\n\n<p><a href=\"https://dl.acm.org/doi/pdf/10.1145/3335203.333572\">https://dl.acm.org/doi/pdf/10.1145/3335203.333572</a>`</p>",
      "votes": 4,
      "replies": [
        {
          "id": 824734,
          "author_name": "Max Jeblick",
          "author_url": "",
          "post_date": "2020-04-28T15:03:24.510000",
          "content": "<p>You might be able to find the first author of the paper <a href=\"/yousfi\">@yousfi</a> somewhere on the leaderboard 😃 </p>",
          "votes": 3,
          "replies": []
        },
        {
          "id": 825016,
          "author_name": "Nanashi",
          "author_url": "",
          "post_date": "2020-04-28T18:17:21.987000",
          "content": "<p>yes, looks like we have a clear favorite for this comp haha\nat his github you can find more information (and pretrained weights): <a href=\"https://github.com/YassineYousfi/alaska\">https://github.com/YassineYousfi/alaska</a></p>",
          "votes": 1,
          "replies": []
        }
      ]
    },
    {
      "id": 823727,
      "author_name": "Rémi Cogranne",
      "author_url": "",
      "post_date": "2020-04-27T20:56:38.333000",
      "content": "<p>Interesting suggestion ! I actually did not noticed it \nI Will have a look, thanks for the suggestion ! 👍 </p>",
      "votes": 2,
      "replies": []
    },
    {
      "id": 824121,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-04-28T06:57:57.390000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 824082,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-04-28T06:27:51.593000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 824011,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-04-28T05:13:08.913000",
      "content": "",
      "votes": 0,
      "replies": []
    },
    {
      "id": 823749,
      "author_name": "",
      "author_url": "",
      "post_date": "2020-04-27T21:21:00.283000",
      "content": "",
      "votes": 1,
      "replies": [
        {
          "id": 823771,
          "author_name": "Xuan Cao",
          "author_url": "",
          "post_date": "2020-04-27T21:53:44.040000",
          "content": "<p>Thanks for pointing out, I will have a look. </p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 824124,
          "author_name": "Rémi Cogranne",
          "author_url": "",
          "post_date": "2020-04-28T07:01:10.753000",
          "content": "<p>Terrific ! Thanks for the notebook and the reference.\nBy the way, can someone provide us with a link for XuNet (v2) since I am not sure which one you refer to :/</p>",
          "votes": 0,
          "replies": []
        },
        {
          "id": 824354,
          "author_name": "",
          "author_url": "",
          "post_date": "2020-04-28T10:17:49.663000",
          "content": "",
          "votes": 0,
          "replies": []
        }
      ]
    },
    {
      "id": 824042,
      "author_name": "Pritesh Raj",
      "author_url": "",
      "post_date": "2020-04-28T05:56:40.777000",
      "content": "<p>Thank you for sharing :)</p>",
      "votes": 0,
      "replies": []
    }
  ],
  "raw_markdown_by_id": {
    "823700": "This [paper](https://arxiv.org/pdf/1704.08378.pdf) comes out as the first recommendation by google. \n\nAuthor is also a top kaggler 😃 ",
    "823818": "Here is a notebook to test the out-of-box performance of SRNet: \n\nhttps://www.kaggle.com/naivelamb/alaska2-srnet-baseline-inference",
    "824083": "Some sequel paper to SRNet : \n\nBreaking ALASKA: Color separation for steganalysis in JPEG domain\nY Yousfi, J Butora, J Fridrich, Q Giboulot - Proceedings of the ACM …, 2019\n\nhttps://dl.acm.org/doi/pdf/10.1145/3335203.333572`\n",
    "823727": "Interesting suggestion ! I actually did not noticed it \nI Will have a look, thanks for the suggestion ! 👍 ",
    "824121": "",
    "824082": "",
    "824011": "",
    "823749": "",
    "824042": "Thank you for sharing :)"
  }
}