From 0687c0372185e918bbe34c9aedf0ce8d3b37da29 Mon Sep 17 00:00:00 2001 From: xilin1991 Date: Tue, 23 Jan 2024 14:21:08 +0800 Subject: [PATCH] update project page --- docs/index.html | 174 ++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 174 insertions(+) create mode 100644 docs/index.html diff --git a/docs/index.html b/docs/index.html new file mode 100644 index 0000000..c737d1d --- /dev/null +++ b/docs/index.html @@ -0,0 +1,174 @@ + + + + + + + + + XMem + + + + + + + + + + +



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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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+ [arXiv] +
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+ [Paper] +
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+ Interactive GUI demo available [here]! +
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+ Abstract +
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+ 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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+ Handling long-term occlusion +
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+ Very-long video; masked layer insertion +
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+ + Source: https://www.youtube.com/watch?v=q5Xr0F4a0iU +
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+ Out-of-domain case +
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+ + 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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