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The very city live 丨 being - Unicorn: towards the unification of target tracking (ECCV2022 Oral)
2022-07-29 15:02:00 【Pole market platform】
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在这次分享中,We invited the School of Information and Communication of Dalian University of TechnologyIIAU-LABDr. Yan Bin,Introduce them to usECCV2022 Oral的最新工作:
Towards Grand Unification of Object Tracking
“目标跟踪领域主要可分成以下四项子任务:单目标跟踪,视频目标分割,多目标跟踪,多目标跟踪与分割.由于不同子任务在定义与设定上的差异,绝大多数现有跟踪算法都是被设计用来解决单一或者部分子任务的,缺乏向其他任务的拓展能力.显然,他们的长期割裂状态对于跟踪领域的发展并不友好.
本次分享中,We will introduce a grand unified model for object tracking tasksUnicorn,该模型只需一套网络结构、一套模型参数即可同时完成四种跟踪任务,This work has now been completedECCV2022接收为Oral.Unicorn首次实现了目标跟踪网络结构与学习范式的大一统,and from four tracking tasks8excellent performance on a challenging dataset,Refreshed on several of these datasetsState-of-The-Art.”
直播地址:http://live.bilibili.com/3344545
01 直播信息
时间:2022年7月26日(周二)20:00-21:00
主题:ECCV22 Oral Unicorn:Towards the unification of target tracking
直播地址:http://live.bilibili.com/3344545
02 嘉宾介绍

Yan Bin
School of Information and Communication, Dalian University of TechnologyIIAU-LAB博士生、The instructors are Professor Lu Huchuan and Professor Wang Dong、The research direction is video object tracking,Currently the first author at the top computer vision conferenceCVPR、ICCV、ECCVPublished several papers,曾多次获得VOT Challenge冠军,And worked at Microsoft Research Asia、Internship in ByteDance Artificial Intelligence Laboratory.
个人主页:https://masterbin-iiau.github.io/
03 关于分享
*分享大纲
1、A review of the development of goal tracking
2、Towards the unification of target tracking
3、Unicorn
4、实验结果与Demo
*论文
Towards Grand Unification of Object Tracking
论文地址:
https://arxiv.org/abs/2207.07078
代码地址:
https://github.com/MasterBin-IIAU/Unicorn
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