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2109.01693
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Weakly Supervised Few-Shot Segmentation Via Meta-Learning
3 September 2021
P. H. T. Gama
Hugo Oliveira
J. M. Junior
J. D. Santos
VLM
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Papers citing
"Weakly Supervised Few-Shot Segmentation Via Meta-Learning"
9 / 9 papers shown
Title
Learning Robust Correlation with Foundation Model for Weakly-Supervised Few-Shot Segmentation
Xinyang Huang
Chuanglu Zhu
Kebin Liu
Ruiying Ren
Shengjie Liu
33
2
0
30 May 2024
Few-Shot Object Detection: Research Advances and Challenges
Zhimeng Xin
Shiming Chen
Tianxu Wu
Yuanjie Shao
Weiping Ding
Xinge You
ObjD
29
23
0
07 Apr 2024
Leveraging Large-Scale Pretrained Vision Foundation Models for Label-Efficient 3D Point Cloud Segmentation
Shichao Dong
Fayao Liu
Guosheng Lin
VLM
16
3
0
03 Nov 2023
A Systematic Review of Few-Shot Learning in Medical Imaging
Eva Pachetti
Sara Colantonio
24
17
0
20 Sep 2023
Weakly Supervised 3D Instance Segmentation without Instance-level Annotations
S. Dong
Guosheng Lin
ISeg
3DV
20
4
0
03 Aug 2023
Meta-Learners for Few-Shot Weakly-Supervised Medical Image Segmentation
Hugo Oliveira
P. H. T. Gama
Isabelle Bloch
R. M. C. Junior
22
8
0
11 May 2023
MetaComp: Learning to Adapt for Online Depth Completion
Y. Chen
Shanshan Zhao
Wei Ji
Mingming Gong
Liping Xie
OOD
CLL
VLM
29
1
0
21 Jul 2022
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
172
639
0
19 Sep 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
263
11,677
0
09 Mar 2017
1