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Title | Pre-training for Video Understanding |
Description | Pre-training for Video Understanding Challenge @ACM Multimedia ACM MM 2022 Home People Challenge Dataset Evaluation Pre-training for Video Understanding Challenge @ACM Multimedia 2022 Introduction The goal of this cha |
Keywords | N/A |
WebSite | ms-multimedia-challenge.com |
Host IP | 144.34.161.81 |
Location | United States |
Site | Rank |
US$707
Last updated: 2023-01-18 17:46:33
ms-multimedia-challenge.com has Semrush global rank of 0. ms-multimedia-challenge.com has an estimated worth of US$ 707, based on its estimated Ads revenue. ms-multimedia-challenge.com receives approximately 81 unique visitors each day. Its web server is located in United States, with IP address 144.34.161.81. According to SiteAdvisor, ms-multimedia-challenge.com is safe to visit. |
Purchase/Sale Value | US$707 |
Daily Ads Revenue | US$0 |
Monthly Ads Revenue | US$19 |
Yearly Ads Revenue | US$235 |
Daily Unique Visitors | 5 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
ms-multimedia-challenge.com. 599 IN | A | IP: 144.34.161.81 | |
ms-multimedia-challenge.com. 86400 IN | NS | NS Record: dns10.hichina.com. | |
ms-multimedia-challenge.com. 86400 IN | NS | NS Record: dns9.hichina.com. | |
ms-multimedia-challenge.com. 600 IN | MX | MX Record: 10 mail.ms-multimedia-challenge.com. |
ACM MM 2022 Home People Challenge Dataset Evaluation Pre-training for Video Understanding Challenge @ACM Multimedia 2022 Introduction The goal of this challenge is to offer a fertile ground for designing pre-training techniques that facilitate a series of video understanding downstream tasks (e.g., video captioning and video categorization this year). Hence, two tracks (Pre-training for Video Captioning and Pre-training for Video Categorization) will be involved in this grand challenge. Meanwhile, to further motivate and challenge the multimedia community, we provide two large-scale video pre-training datasets, i.e., Auto-captions on GIF (ACTION) and the Weakly-Supervised dataset, for contestants to solve this challenging but emerging task in each track. Particularly, in the first track, the contestants are asked to develop video captioning system based on ACTION dataset (as pre-training data) and the public MSR-VTT benchmark (as training data for downstream task). For the evaluation |
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