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Fast and Resource-Efficient Object Tracking on Edge Devices: A
  Measurement Study

Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study

6 September 2023
Sanjana Vijay Ganesh
Yanzhao Wu
Gaowen Liu
Ramana Rao Kompella
Ling Liu
    VOT
ArXivPDFHTML

Papers citing "Fast and Resource-Efficient Object Tracking on Edge Devices: A Measurement Study"

6 / 6 papers shown
Title
Rethinking Learning Rate Tuning in the Era of Large Language Models
Rethinking Learning Rate Tuning in the Era of Large Language Models
Hongpeng Jin
Wenqi Wei
Xuyu Wang
Wenbin Zhang
Yanzhao Wu
16
11
0
16 Sep 2023
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Yifu Zhang
Pei Sun
Yi-Xin Jiang
Dongdong Yu
Fucheng Weng
Zehuan Yuan
Ping Luo
Wenyu Liu
Xinggang Wang
VOT
107
1,330
0
13 Oct 2021
TrackFormer: Multi-Object Tracking with Transformers
TrackFormer: Multi-Object Tracking with Transformers
Tim Meinhardt
A. Kirillov
Laura Leal-Taixe
Christoph Feichtenhofer
VOT
229
743
0
07 Jan 2021
TransTrack: Multiple Object Tracking with Transformer
TransTrack: Multiple Object Tracking with Transformer
Pei Sun
Jinkun Cao
Yi-Xin Jiang
Rufeng Zhang
Enze Xie
Zehuan Yuan
Changhu Wang
Ping Luo
ViT
VOT
261
566
0
31 Dec 2020
Towards Real-Time Multi-Object Tracking
Towards Real-Time Multi-Object Tracking
Zhongdao Wang
Liang Zheng
Yixuan Liu
Yali Li
Shengjin Wang
VOT
249
855
0
27 Sep 2019
Simple Online and Realtime Tracking with a Deep Association Metric
Simple Online and Realtime Tracking with a Deep Association Metric
N. Wojke
Alex Bewley
Dietrich Paulus
VOT
234
3,465
0
21 Mar 2017
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