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Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine
  Pseudo-Labeling with Visual-Semantic Meta-Embedding

Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding

11 July 2020
Jinhai Yang
Han Yang
Lin Chen
ArXivPDFHTML

Papers citing "Towards Cross-Granularity Few-Shot Learning: Coarse-to-Fine Pseudo-Labeling with Visual-Semantic Meta-Embedding"

5 / 5 papers shown
Title
Efficient Subclass Segmentation in Medical Images
Efficient Subclass Segmentation in Medical Images
Linrui Dai
Wenhui Lei
Xiaofan Zhang
19
1
0
01 Jul 2023
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Zhiyuan Zhao
Qingjie Liu
Yunhong Wang
35
9
0
05 Oct 2022
Class-Specific Channel Attention for Few-Shot Learning
Ying Chen
J. Hsieh
Ming-Ching Chang
20
0
0
03 Sep 2022
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
180
639
0
19 Sep 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
341
11,684
0
09 Mar 2017
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