ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2405.07272
  4. Cited By
MAML MOT: Multiple Object Tracking based on Meta-Learning

MAML MOT: Multiple Object Tracking based on Meta-Learning

12 May 2024
Jiayi Chen
Chunhua Deng
    VOT
ArXivPDFHTML

Papers citing "MAML MOT: Multiple Object Tracking based on Meta-Learning"

3 / 3 papers shown
Title
MOT20: A benchmark for multi object tracking in crowded scenes
MOT20: A benchmark for multi object tracking in crowded scenes
Patrick Dendorfer
Hamid Rezatofighi
Anton Milan
Javen Qinfeng Shi
Daniel Cremers
Ian Reid
Stefan Roth
Konrad Schindler
Laura Leal-Taixé
VOT
161
620
0
19 Mar 2020
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
211
3,407
0
21 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
237
11,568
0
09 Mar 2017
1