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xilin1991 committed Jan 23, 2024
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<!DOCTYPE HTML>
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<script async src="https://www.googletagmanager.com/gtag/js?id=G-E4PHBZXG5S"></script>
<script>
window.dataLayer = window.dataLayer || [];
function gtag(){dataLayer.push(arguments);}
gtag('js', new Date());

gtag('config', 'G-E4PHBZXG5S');
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<title>XMem</title>

<meta name="viewport" content="width=device-width, initial-scale=1">
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<link href="https://cdn.jsdelivr.net/npm/bootstrap@5.0.1/dist/css/bootstrap.min.css" rel="stylesheet" integrity="sha384-+0n0xVW2eSR5OomGNYDnhzAbDsOXxcvSN1TPprVMTNDbiYZCxYbOOl7+AMvyTG2x" crossorigin="anonymous">
<script src="https://ajax.googleapis.com/ajax/libs/jquery/3.5.1/jquery.min.js"></script>

<link href="style.css" type="text/css" rel="stylesheet" media="screen,projection"/>
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<body>
<br><br><br><br>
<div class="container">
<div class="row text-center" style="font-size:38px">
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XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
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ECCV 2022
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<div class="h-100 row text-center heavy justify-content-md-center" style="font-size:24px;">
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<a href="https://hkchengrex.github.io/">Ho Kei Cheng</a>
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<a href="https://www.alexander-schwing.de/">Alexander Schwing</a>
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<a href="https://arxiv.org/abs/2207.07115">[arXiv]</a>
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<a href="https://arxiv.org/pdf/2207.07115.pdf">[Paper]</a>
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<a href="https://github.com/hkchengrex/XMem">[Code]</a>
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<i>Interactive GUI demo available <a href="https://github.com/hkchengrex/XMem/blob/main/docs/DEMO.md">[here]</a>! </i>
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<a href="https://github.com/hkchengrex/XMem/blob/main/docs/DEMO.md">
<img width="60%" src="https://imgur.com/uAImD80.jpg" alt="framework">
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Abstract
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<p style="text-align: justify;">
We present XMem, a video object segmentation architecture for long videos with unified feature memory stores inspired by the Atkinson-Shiffrin memory model.
Prior work on video object segmentation typically only uses one type of feature memory. For videos longer than a minute, a single feature memory model tightly links memory consumption and accuracy.
In contrast, following the Atkinson-Shiffrin model, we develop an architecture that incorporates multiple independent yet deeply-connected feature memory stores: a rapidly updated sensory memory, a high-resolution working memory, and a compact thus sustained long-term memory.
Crucially, we develop a memory potentiation algorithm that routinely consolidates actively used working memory elements into the long-term memory, which avoids memory explosion and minimizes performance decay for long-term prediction.
Combined with a new memory reading mechanism, XMem greatly exceeds state-of-the-art performance on long-video datasets while being on par with state-of-the-art methods (that do not work on long videos) on short-video datasets.
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<img width="80%" src="https://imgur.com/ToE2frx.jpg" alt="framework">
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Handling long-term occlusion
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<center>
<iframe style="width:100%; aspect-ratio: 1.78;"
src="https://www.youtube.com/embed/mwOP8l3zVNw"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
allowfullscreen>
</iframe>
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Very-long video; masked layer insertion
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<center>
<iframe style="width:100%; aspect-ratio: 1.78;"
src="https://www.youtube.com/embed/9OtFvF8FiEg"
title="YouTube video player" frameborder="0"
allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture"
allowfullscreen>
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Source: https://www.youtube.com/watch?v=q5Xr0F4a0iU
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Out-of-domain case
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<video style="width: 100%" controls>
<source src="https://user-images.githubusercontent.com/7107196/177920383-161f1da1-33f9-48b3-b8b2-09e450432e2b.mp4" type="video/mp4">
Your browser does not support the video tag.
</video>
Source: かぐや様は告らせたい ~天才たちの恋愛頭脳戦~ Ep.3; A1 Pictures
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Contact: Ho Kei (Rex) Cheng
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document.querySelector("#mail").innerText = ["hkchengrex", "gmail.com"].join("@")
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