解毒药
发表于 2025-3-21 19:21:00
书目名称AI for Brain Lesion Detection and Trauma Video Action Recognition影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0167091<br><br> <br><br>书目名称AI for Brain Lesion Detection and Trauma Video Action Recognition影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0167091<br><br> <br><br>书目名称AI for Brain Lesion Detection and Trauma Video Action Recognition网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0167091<br><br> <br><br>书目名称AI for Brain Lesion Detection and Trauma Video Action Recognition网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0167091<br><br> <br><br>书目名称AI for Brain Lesion Detection and Trauma Video Action Recognition被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0167091<br><br> <br><br>书目名称AI for Brain Lesion Detection and Trauma Video Action Recognition被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0167091<br><br> <br><br>书目名称AI for Brain Lesion Detection and Trauma Video Action Recognition年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0167091<br><br> <br><br>书目名称AI for Brain Lesion Detection and Trauma Video Action Recognition年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0167091<br><br> <br><br>书目名称AI for Brain Lesion Detection and Trauma Video Action Recognition读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0167091<br><br> <br><br>书目名称AI for Brain Lesion Detection and Trauma Video Action Recognition读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0167091<br><br> <br><br>
丛林
发表于 2025-3-21 22:01:17
Objekt, Ereignis, Ereignisprozedur,ate prediction of both the verb and noun components of the action, given that actions consist of both a verb and a noun. In the end, we selected the predictions generated by Video-Swin as our final submission, achieving a Top-1 Action accuracy of . for Action Recognition and Top-1 Action accuracy of
crockery
发表于 2025-3-22 02:41:13
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取消
发表于 2025-3-22 07:10:22
Overview of the Trauma THOMPSON Challenge at MICCAI 2023chieved a Top 1 accuracy of 35.27%. For Task 2, the best method using VideoSwin with Swin-S and CenterCrop achieved Top 1 accuracy of 23.67%. No submission was received for Task 3. For the VQA task, the best method relying on MCAN-large with VinVL and FQCA obtained an accuracy of 74.35%.
extinguish
发表于 2025-3-22 11:21:57
Action Recognition and Action Anticipation Tasks in the Trauma THOMPSON Challenge Technical Reportate prediction of both the verb and noun components of the action, given that actions consist of both a verb and a noun. In the end, we selected the predictions generated by Video-Swin as our final submission, achieving a Top-1 Action accuracy of . for Action Recognition and Top-1 Action accuracy of
防止
发表于 2025-3-22 14:55:36
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痴呆
发表于 2025-3-22 17:15:41
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山间窄路
发表于 2025-3-22 21:39:17
,Nichtnumerische Speicherplätze,rucial for diagnosis and treatment. However, traditional deep learning models often struggle with HIE’s diverse lesion characteristics. This paper presents a novel ensemble strategy utilizing Swin-UNETR, a transformer-based model, to address this challenge. We demonstrate the advantages of Swin-UNET
不可接触
发表于 2025-3-23 02:17:33
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嬉耍
发表于 2025-3-23 06:45:34
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