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Spatial Contrastive Learning for Few-Shot Classification
v1v2v3 (latest)

Spatial Contrastive Learning for Few-Shot Classification

26 December 2020
Yassine Ouali
C´eline Hudelot
Myriam Tami
ArXiv (abs)PDFHTML

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

18 / 18 papers shown
Prototypical Contrastive Learning For Improved Few-Shot Audio Classification
Prototypical Contrastive Learning For Improved Few-Shot Audio Classification
Christos Sgouropoulos
Christos Nikou
Stefanos Vlachos
Vasileios Theiou
Christos Foukanelis
Theodoros Giannakopoulos
VLM
186
0
0
12 Sep 2025
Rethinking the Sample Relations for Few-Shot Classification
Rethinking the Sample Relations for Few-Shot ClassificationImage and Vision Computing (IVC), 2025
Guowei Yin
Sheng Huang
Luwen Huangfu
Yi Zhang
Xiaohong Zhang
VLM
325
1
0
23 Jan 2025
CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud
  Object Detection
CP-VoteNet: Contrastive Prototypical VoteNet for Few-Shot Point Cloud Object DetectionChinese Conference on Pattern Recognition and Computer Vision (CPRCV), 2024
Xuejing Li
Weijia Zhang
Chao Ma
3DPC
255
2
0
30 Aug 2024
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
458
2
0
09 Apr 2024
Improved Region Proposal Network for Enhanced Few-Shot Object Detection
Improved Region Proposal Network for Enhanced Few-Shot Object DetectionNeural Networks (Neural Netw.), 2023
Zeyu Shangguan
Mohammad Rostami
ObjD
287
17
0
15 Aug 2023
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 LearningAAAI Conference on Artificial Intelligence (AAAI), 2023
Yi Rong
Xiongbo Lu
Zhaoyang Sun
Yaxiong Chen
Shengwu Xiong
288
23
0
26 Apr 2023
WLD-Reg: A Data-dependent Within-layer Diversity Regularizer
WLD-Reg: A Data-dependent Within-layer Diversity RegularizerAAAI Conference on Artificial Intelligence (AAAI), 2023
Firas Laakom
Jenni Raitoharju
Alexandros Iosifidis
Moncef Gabbouj
AI4CE
213
9
0
03 Jan 2023
Disentangled Generation with Information Bottleneck for Few-Shot
  Learning
Disentangled Generation with Information Bottleneck for Few-Shot Learning
Zhuohang Dang
Jihong Wang
Minnan Luo
Chengyou Jia
Caixia Yan
Qinghua Zheng
219
1
0
29 Nov 2022
Few-Shot Classification with Contrastive Learning
Few-Shot Classification with Contrastive LearningEuropean Conference on Computer Vision (ECCV), 2022
Zhanyuan Yang
Jinghua Wang
Ying J. Zhu
OODDMQ
323
78
0
17 Sep 2022
Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning
Generalized Few-Shot Semantic Segmentation: All You Need is Fine-Tuning
Josh Myers-Dean
Yinan Zhao
Brian L. Price
Scott D. Cohen
Danna Gurari
CLL
282
17
0
21 Dec 2021
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
279
35
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 TaggingInternational Joint Conference on Natural Language Processing (IJCNLP), 2021
Hongru Wang
Zezhong Wang
Gabriel Pui Cheong Fung
Kam-Fai Wong
OffRLCLL
318
11
0
26 Aug 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot LearningNeural Information Processing Systems (NeurIPS), 2021
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
447
103
0
16 Jul 2021
Multi-Level Contrastive Learning for Few-Shot Problems
Multi-Level Contrastive Learning for Few-Shot ProblemsSocial Science Research Network (SSRN), 2021
Qing Chen
Jian Zhang
214
6
0
15 Jul 2021
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled
  Images
Few-Shot Learning with Part Discovery and Augmentation from Unlabeled ImagesInternational Joint Conference on Artificial Intelligence (IJCAI), 2021
Wentao Chen
Chenyang Si
Wei Wang
Liang Wang
Zilei Wang
Tieniu Tan
SSL
165
11
0
25 May 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of
  Recent Developments
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent DevelopmentsPattern Recognition (Pattern Recogn.), 2021
Xiaoxu Li
Xiaochen Yang
Zhanyu Ma
Jing-Hao Xue
VLM
349
181
0
17 May 2021
ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea
  Detection
ConCAD: Contrastive Learning-based Cross Attention for Sleep Apnea Detection
Guanjie Huang
Fenglong Ma
282
14
0
07 May 2021
Billion-scale similarity search with GPUs
Billion-scale similarity search with GPUsIEEE Transactions on Big Data (TBD), 2017
Jeff Johnson
Matthijs Douze
Edouard Grave
1.3K
4,945
0
28 Feb 2017
1
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