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Prototype Completion for Few-Shot Learning

Prototype Completion for Few-Shot Learning

11 August 2021
Baoquan Zhang
Xutao Li
Yunming Ye
Shanshan Feng
    VLM
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Papers citing "Prototype Completion for Few-Shot Learning"

12 / 12 papers shown
Title
LERENet: Eliminating Intra-class Differences for Metal Surface Defect
  Few-shot Semantic Segmentation
LERENet: Eliminating Intra-class Differences for Metal Surface Defect Few-shot Semantic Segmentation
Hanze Ding
Zhangkai Wu
Jiyan Zhang
Ming Ping
Yanfang Liu
27
0
0
17 Mar 2024
Dual-View Data Hallucination with Semantic Relation Guidance for
  Few-Shot Image Recognition
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image Recognition
Hefeng Wu
Guangzhi Ye
Ziyang Zhou
Ling Tian
Qing Wang
Liang Lin
26
3
0
13 Jan 2024
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
MetaDiff: Meta-Learning with Conditional Diffusion for Few-Shot Learning
Baoquan Zhang
Chuyao Luo
Demin Yu
Huiwei Lin
Xutao Li
Yunming Ye
Bowen Zhang
DiffM
40
42
0
31 Jul 2023
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning
Xingping Dong
Tianran Ouyang
Shengcai Liao
Bo Du
Ling Shao
38
3
0
14 Jul 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains
Hierarchical Variational Memory for Few-shot Learning Across Domains
Yingjun Du
Xiantong Zhen
Ling Shao
Cees G. M. Snoek
VLM
BDL
38
21
0
15 Dec 2021
Free Lunch for Few-shot Learning: Distribution Calibration
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang
Lu Liu
Min Xu
OODD
213
322
0
16 Jan 2021
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
215
330
0
22 Jul 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
175
342
0
09 Mar 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
204
630
0
17 Oct 2019
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
177
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
338
11,684
0
09 Mar 2017
Learning Deep Representations of Fine-grained Visual Descriptions
Learning Deep Representations of Fine-grained Visual Descriptions
Scott E. Reed
Zeynep Akata
Bernt Schiele
Honglak Lee
OCL
VLM
170
840
0
17 May 2016
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