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Ref-Youtube-VOS - Dataset - LDM
- service.tib.eu
Updated Dec 2, 2024
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EmailClick to copy linkLink copiedCite(2024). Ref-Youtube-VOS - Dataset - LDM [Dataset]. https://service.tib.eu/ldmservice/dataset/ref-youtube-vosDataset updatedDec 2, 2024Area coveredYouTubeDescriptionRef-Youtube-VOS is an extensive referring video object segmentation dataset that comprises approximately 15,000 referring expressions associated with more than 3,900 videos.
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IC-VOS
- huggingface.co
Updated May 11, 2012ShareFacebookTwitterEmailClick to copy linkLink copiedCitePengfei Zhu (2012). IC-VOS [Dataset]. https://huggingface.co/datasets/zaplm/IC-VOSDataset updatedMay 11, 2012AuthorsPengfei ZhuLicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescriptionDownload following datasets:
1. PASCAL-5iDownload PASCAL VOC2012 devkit (train/val data): wget http://host.robots.ox.ac.uk/pascal/VOC/voc2012/VOCtrainval_11-May-2012.tar
Download PASCAL VOC2012 SDS extended mask annotations.
2. COCO-20iDownload COCO2014 train/val images and annotations: wget http://images.cocodataset.org/zips/train2014.zip wget http://images.cocodataset.org/zips/val2014.zip wget http://images.cocodataset.org/annotations/annotations_trainval2014.zip… See the full description on the dataset page: https://huggingface.co/datasets/zaplm/IC-VOS.
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M$^3$-VOS Dataset
- paperswithcode.com
Updated Jun 9, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCite(2025). M$^3$-VOS Dataset [Dataset]. https://paperswithcode.com/dataset/m-3-vosDataset updatedJun 9, 2025Description💡 Description A new benchmark, Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation (M$^3$-VOS), to verify the ability of models to understand object phases, which consists of 479 high-resolution videos spanning over 10 distinct everyday scenarios. We collected 205,181 masks, with an average track duration of 14.27s. M$^3$-VOS covers 120+ categories of objects across 6 phases within 14 scenarios, encompassing 23 specific phase transitions.
Venue: CVPR2025 Repository: Tool 🛠️, Page🏠 Paper: arxiv.org/html/2412.13803v2 Point of Contact: Jiaxin Li , Zixuan Chen
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Supplemental material for: Clinical and neuroimaging outcomes of direct...
- datadryad.org
- explore.openaire.eu
- +1more
zipUpdated Mar 19, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAmrou Sarraj (2022). Supplemental material for: Clinical and neuroimaging outcomes of direct endovascular thrombectomy vs. bridging therapy in large vessel occlusion patients: a secondary analysis of SELECT cohort study [Dataset]. http://doi.org/10.5061/dryad.sxksn0323zipAvailable download formatsUnique identifierhttps://doi.org/10.5061/dryad.sxksn0323Dataset updatedMar 19, 2022Dataset provided byDryadAuthorsAmrou SarrajTime period covered2020DescriptionObjective: To evaluate the comparative safety and efficacy of direct endovascular thrombectomy(dEVT) compared to bridging therapy(BT:IV-tPA+EVT) and assess if BT potential benefit relates to stroke severity, size and initial presentation to EVT vs. non-EVT center.
Methods: In a prospective multicenter cohort-study of imaging selection for endovascular thrombectomy[SELECT], anterior-circulation large vessel occlusion (LVO) patients presenting to EVT-capable centers within 4.5hours from last-known-well were stratified into BT vs. dEVT. The primary outcome was 90-day functional independence[modified Rankin Scale(mRS)=0-2]. Secondary outcomes included a shift across 90-day mRS grades, mortality, symptomatic intracranial hemorrhage. We also performed subgroup-analyses according to initial presentation to EVT-capable center (direct versus transfer), stroke severity and baseline infarct core volume.
Results: We identified 226 LVOs (54%:men, mean age:65.6±14.6years, median NIHSS-score: 1...
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M3_VOS
- huggingface.co
ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDan, M3_VOS [Dataset]. https://huggingface.co/datasets/Lijiaxin0111/M3_VOSAuthorsDanLicenseApache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automaticallyDescription[CVPR 2025] M3-VOS: Multi-Phase, Multi-Transition, and Multi-Scenery Video Object Segmentation
If you like our project, please give us a star ⭐ on GitHub for the latest update.
💡 DescriptionVenue: CVPR2025 Repository: 🛠️Tool, 🏠Page Paper: arxiv.org/html/2412.13803v2 Point of Contact: Jiaxin Li , Zixuan Chen
📁 StructureThis dataset contains annotated videos and images for object segmentation tasks with phase transition information. The directory… See the full description on the dataset page: https://huggingface.co/datasets/Lijiaxin0111/M3_VOS.
Supplemental material for: Increased large vessel occlusive strokes...
- zenodo.org
- search.dataone.org
- +1more
binUpdated Jun 3, 2022ShareFacebookTwitterEmailClick to copy linkLink copiedCiteDaniel Myall; Daniel Myall; Teddy Wu; Campbell Le Heron; Teddy Wu; Campbell Le Heron (2022). Supplemental material for: Increased large vessel occlusive strokes following the Christchurch 2019 March 15 terror attack [Dataset]. http://doi.org/10.5061/dryad.bcc2fqz9tbinAvailable download formatsUnique identifierhttps://doi.org/10.5061/dryad.bcc2fqz9tDataset updatedJun 3, 2022AuthorsDaniel Myall; Daniel Myall; Teddy Wu; Campbell Le Heron; Teddy Wu; Campbell Le HeronLicenseCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automaticallyArea coveredChristchurchDescriptionBackground: The impact of sudden catastrophic events such as terror attacks on stroke is unclear. We investigated the association between the 2019 March 15 Christchurch terror attack and ischaemic stroke admissions and reperfusion therapies.
Methods: We used a Bayesian Poisson model to estimate the effect of the terror attack on ischaemic stroke admissions, the numbers of intracranial large vessel occlusion (LVO) and reperfusion therapy, in the week after the attack compared with weekly data from 1st January 2018 until 21st April 2019. These analyses were repeated for the rest of New Zealand with Christchurch data omitted. The probability of the rate observed in the week following the terror attack being higher than the background rate was calculated for each measure, with a probability higher than 99.5% providing strong evidence of an effect.
Results: In the week starting on Monday, three days after the terror attack, there was an increase in the number of patients with intracranial LVOs (10, background mean rate=2.4, probability P>99.9%) and those receiving reperfusion therapy (9, mean rate=2.6, P=99.9%), compared with the baseline rates. There was no difference in the total number of ischemic stroke admissions (26, mean rate=27). There was no strong evidence of a change in the numbers of reperfusion therapies or ischaemic stroke admissions in the rest of New Zealand.
Conclusion: Sudden catastrophic events such as terror attacks may increase the numbers of patients developing intracranial LVO requiring stroke reperfusion therapies within the affected community.
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vos
- alliancegenome.org
Updated Mar 5, 2025ShareFacebookTwitterEmailClick to copy linkLink copiedCiteAlliance of Genome Resources (2025). vos [Dataset]. http://identifiers.org/ZFIN:ZDB-GENE-070117-41Unique identifierhttps://identifiers.org/ZFIN:ZDB-GENE-070117-41Dataset updatedMar 5, 2025Dataset authored and provided byAlliance of Genome ResourcesLicenseAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automaticallyDescriptionvestigial outer segments
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FacebookTwitterEmailRef-Youtube-VOS is an extensive referring video object segmentation dataset that comprises approximately 15,000 referring expressions associated with more than 3,900 videos.