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Deep Active Learning for Computer Vision: Past and Future

Deep Active Learning for Computer Vision: Past and Future

27 November 2022
Rinyoichi Takezoe
Xu Liu
Shunan Mao
Marco Tianyu Chen
Zhanpeng Feng
Shiliang Zhang
Xiaoyu Wang
    VLM
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Papers citing "Deep Active Learning for Computer Vision: Past and Future"

3 / 3 papers shown
Title
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
260
7,434
0
11 Nov 2021
Consistency-based Semi-supervised Active Learning: Towards Minimizing
  Labeling Cost
Consistency-based Semi-supervised Active Learning: Towards Minimizing Labeling Cost
M. Gao
Zizhao Zhang
Guo-Ding Yu
Sercan Ö. Arik
L. Davis
Tomas Pfister
156
195
0
16 Oct 2019
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
252
11,677
0
09 Mar 2017
1