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Spatial Contrastive Learning for Few-Shot Classification

Spatial Contrastive Learning for Few-Shot Classification

26 December 2020
Yassine Ouali
C´eline Hudelot
Myriam Tami
ArXivPDFHTML

Papers citing "Spatial Contrastive Learning for Few-Shot Classification"

10 / 10 papers shown
Title
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures
Using Few-Shot Learning to Classify Primary Lung Cancer and Other Malignancy with Lung Metastasis in Cytological Imaging via Endobronchial Ultrasound Procedures
Ching-Kai Lin
Di-Chun Wei
Yun-Chien Cheng
27
0
0
09 Apr 2024
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving
  Few-Shot Learning
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Yi Rong
Xiongbo Lu
Zhaoyang Sun
Yaxiong Chen
Shengwu Xiong
16
10
0
26 Apr 2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
M. Gabbouj
AI4CE
16
7
0
03 Jan 2023
On the Importance of Distractors for Few-Shot Classification
On the Importance of Distractors for Few-Shot Classification
Rajshekhar Das
Yu-xiong Wang
José M. F. Moura
13
28
0
20 Sep 2021
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot
  Slot Tagging
MCML: A Novel Memory-based Contrastive Meta-Learning Method for Few Shot Slot Tagging
Hongru Wang
Zezhong Wang
Gabriel Pui Cheong Fung
Kam-Fai Wong
OffRL
CLL
13
10
0
26 Aug 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
34
86
0
16 Jul 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot
  Learning
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
Yizhao Gao
Nanyi Fei
Guangzhen Liu
Zhiwu Lu
Tao Xiang
Songfang Huang
53
35
0
23 Jan 2021
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
201
330
0
22 Jul 2020
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
172
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
260
11,677
0
09 Mar 2017
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