{
  "id": 297994,
  "title": "Video Object Detection Models",
  "url": "/competitions/tensorflow-great-barrier-reef/discussion/297994",
  "author_name": "",
  "post_date": "2021-12-31T02:01:24.295520900Z",
  "votes": 3,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Has anyone tried out video object detection models such as <a href=\"https://arxiv.org/abs/1907.06390\" target=\"_blank\">SELSA</a> and <a href=\"https://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_Memory_Enhanced_Global-Local_Aggregation_for_Video_Object_Detection_CVPR_2020_paper.pdf\" target=\"_blank\">MEGA</a>. They seem to perform well on ImageNet Vid as shown by <a href=\"https://paperswithcode.com/sota/video-object-detection-on-imagenet-vid\" target=\"_blank\">papers with code's leaderboard</a>.  Just curious!</p>",
  "messages": [
    {
      "id": "1633711",
      "postDate": "12/31/2021 02:01:24",
      "content": "<p>Has anyone tried out video object detection models such as <a href=\"https://arxiv.org/abs/1907.06390\" target=\"_blank\">SELSA</a> and <a href=\"https://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_Memory_Enhanced_Global-Local_Aggregation_for_Video_Object_Detection_CVPR_2020_paper.pdf\" target=\"_blank\">MEGA</a>. They seem to perform well on ImageNet Vid as shown by <a href=\"https://paperswithcode.com/sota/video-object-detection-on-imagenet-vid\" target=\"_blank\">papers with code's leaderboard</a>.  Just curious!</p>",
      "rawMarkdown": "Has anyone tried out video object detection models such as [SELSA](https://arxiv.org/abs/1907.06390) and [MEGA](https://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_Memory_Enhanced_Global-Local_Aggregation_for_Video_Object_Detection_CVPR_2020_paper.pdf). They seem to perform well on ImageNet Vid as shown by [papers with code's leaderboard](https://paperswithcode.com/sota/video-object-detection-on-imagenet-vid).  Just curious!",
      "votes": null
    },
    {
      "id": "1634739",
      "postDate": "01/01/2022 05:26:50",
      "content": "<p>They've definitely been on my radar on things to experiment with. I know SELSA is implemented in <a href=\"https://github.com/open-mmlab/mmtracking\" target=\"_blank\">MMTracking</a> and I'm currently working on the offline installation of MMtracking and a couple other OpenMMLab libraries for kaggle notebooks, you can find this as a dataset <a href=\"https://www.kaggle.com/maxvandijck/openmmlab-essential-repositories\" target=\"_blank\">here</a>. Another vid object detection that might be interesting is <a href=\"https://arxiv.org/abs/2109.03495\" target=\"_blank\">Temporal ROI Align</a></p>",
      "rawMarkdown": "They've definitely been on my radar on things to experiment with. I know SELSA is implemented in [MMTracking](https://github.com/open-mmlab/mmtracking) and I'm currently working on the offline installation of MMtracking and a couple other OpenMMLab libraries for kaggle notebooks, you can find this as a dataset [here](https://www.kaggle.com/maxvandijck/openmmlab-essential-repositories). Another vid object detection that might be interesting is [Temporal ROI Align](https://arxiv.org/abs/2109.03495)",
      "votes": null
    },
    {
      "id": "1635431",
      "postDate": "01/01/2022 18:38:00",
      "content": "<p>Nice. I was also thinking of combining <a href=\"https://paperswithcode.com/paper/robust-and-efficient-post-processing-for\" target=\"_blank\">REPP</a> with yolo as that has been shown to boost performance significantly. Also, thanks for making an offline install of mmtracking.  </p>",
      "rawMarkdown": "Nice. I was also thinking of combining [REPP](https://paperswithcode.com/paper/robust-and-efficient-post-processing-for) with yolo as that has been shown to boost performance significantly. Also, thanks for making an offline install of mmtracking.",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 1634739,
      "author_name": "maxvandijck",
      "author_url": "",
      "post_date": "01/01/2022 05:26:50",
      "content": "<p>They've definitely been on my radar on things to experiment with. I know SELSA is implemented in <a href=\"https://github.com/open-mmlab/mmtracking\" target=\"_blank\">MMTracking</a> and I'm currently working on the offline installation of MMtracking and a couple other OpenMMLab libraries for kaggle notebooks, you can find this as a dataset <a href=\"https://www.kaggle.com/maxvandijck/openmmlab-essential-repositories\" target=\"_blank\">here</a>. Another vid object detection that might be interesting is <a href=\"https://arxiv.org/abs/2109.03495\" target=\"_blank\">Temporal ROI Align</a></p>",
      "votes": null,
      "replies": [
        {
          "id": 1635431,
          "author_name": "vexxingbanana",
          "author_url": "",
          "post_date": "01/01/2022 18:38:00",
          "content": "<p>Nice. I was also thinking of combining <a href=\"https://paperswithcode.com/paper/robust-and-efficient-post-processing-for\" target=\"_blank\">REPP</a> with yolo as that has been shown to boost performance significantly. Also, thanks for making an offline install of mmtracking.  </p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "1633711": "Has anyone tried out video object detection models such as [SELSA](https://arxiv.org/abs/1907.06390) and [MEGA](https://openaccess.thecvf.com/content_CVPR_2020/papers/Chen_Memory_Enhanced_Global-Local_Aggregation_for_Video_Object_Detection_CVPR_2020_paper.pdf). They seem to perform well on ImageNet Vid as shown by [papers with code's leaderboard](https://paperswithcode.com/sota/video-object-detection-on-imagenet-vid).  Just curious!",
    "1634739": "They've definitely been on my radar on things to experiment with. I know SELSA is implemented in [MMTracking](https://github.com/open-mmlab/mmtracking) and I'm currently working on the offline installation of MMtracking and a couple other OpenMMLab libraries for kaggle notebooks, you can find this as a dataset [here](https://www.kaggle.com/maxvandijck/openmmlab-essential-repositories). Another vid object detection that might be interesting is [Temporal ROI Align](https://arxiv.org/abs/2109.03495)",
    "1635431": "Nice. I was also thinking of combining [REPP](https://paperswithcode.com/paper/robust-and-efficient-post-processing-for) with yolo as that has been shown to boost performance significantly. Also, thanks for making an offline install of mmtracking."
  },
  "source": "meta"
}