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Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn

Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn

Computer Vision and Pattern Recognition (CVPR), 2023
12 May 2023
Ondrej Bohdal
Yinbing Tian
Yongshuo Zong
Ruchika Chavhan
Da Li
Henry Gouk
Li Guo
Timothy M. Hospedales
ArXiv (abs)PDFHTML

Papers citing "Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn"

4 / 4 papers shown
Title
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint
  Detection
OpenKD: Opening Prompt Diversity for Zero- and Few-shot Keypoint DetectionEuropean Conference on Computer Vision (ECCV), 2024
Changsheng Lu
Zheyuan Liu
Piotr Koniusz
VLM
226
5
0
30 Sep 2024
UniFS: Universal Few-shot Instance Perception with Point Representations
UniFS: Universal Few-shot Instance Perception with Point Representations
Sheng Jin
Ruijie Yao
Lumin Xu
Wentao Liu
Chao Qian
Ji Wu
Ping Luo
214
2
0
30 Apr 2024
Meta-learning in healthcare: A survey
Meta-learning in healthcare: A surveySN Computer Science (SCS), 2023
Alireza Rafiei
Ronald Moore
S. Jahromi
F. Hajati
Rishikesan Kamaleswaran
296
16
0
05 Aug 2023
Meta-Calibration: Learning of Model Calibration Using Differentiable
  Expected Calibration Error
Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error
Ondrej Bohdal
Yongxin Yang
Timothy M. Hospedales
UQCVOOD
295
28
0
17 Jun 2021
1