Segment-Everything-Everywhere-All-At-Once

[NeurIPS 2023] Official implementation of the paper "Segment Everything Everywhere All at Once" (by UX-Decoder)

Segment-Everything-Everywhere-All-At-Once Alternatives

Similar projects and alternatives to Segment-Everything-Everywhere-All-At-Once

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Segment-Everything-Everywhere-All-At-Once reviews and mentions

Posts with mentions or reviews of Segment-Everything-Everywhere-All-At-Once. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-28.
  • Is supervised learning dead for computer vision?
    9 projects | news.ycombinator.com | 28 Oct 2023
    Yes, you can. The model that I was talking about LLaVA only output text but other models such as SEEM (https://github.com/UX-Decoder/Segment-Everything-Everywhere-...) outputs a segmentation map. You could prompt the model "Where is the pickleball in the image?" and get a segmentation map that you could then use to compute its center. Please let me know if you would be interested to have SEEM available in Datasaurus
  • The less i know the better
    2 projects | /r/StableDiffusion | 23 Jun 2023
    I think people are just seeing the rate of progress and rightfully think that this stuff will be possible at some point. For the rotoscoping for example, here's an example of progress being made on that.
  • A robot showing off his moves
    1 project | /r/oddlysatisfying | 2 May 2023
    Yeah, it's definitely possible especially with all the recent advances. With segment anything systems (like SAM) and segmentation on NeRF reconstructions already being a thing the feasibility of this is more a time investment thing. Naive "scene understanding" is already possible in a few AR headsets at real-time, but the new papers in the past few weeks have made this much more trivial and faster to implement.
  • Seem: Segment Everything Everywhere All at Once
    1 project | news.ycombinator.com | 14 Apr 2023
  • [R] SEEM: Segment Everything Everywhere All at Once
    2 projects | /r/MachineLearning | 13 Apr 2023
    Play with the demo on GitHub! https://github.com/UX-Decoder/Segment-Everything-Everywhere-All-At-Once
  • A note from our sponsor - WorkOS
    workos.com | 29 Apr 2024
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