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1911.06045
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Self-Supervised Learning For Few-Shot Image Classification
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2019
14 November 2019
Da Chen
YueFeng Chen
Yuhong Li
Feng Mao
Yuan He
Hui Xue
SSL
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Github (17★)
Papers citing
"Self-Supervised Learning For Few-Shot Image Classification"
44 / 44 papers shown
Data-Efficient Point Cloud Semantic Segmentation Pipeline for Unimproved Roads
Andrew Yarovoi
Christopher R. Valenta
3DPC
168
0
0
26 Aug 2025
Rethinking Few Shot CLIP Benchmarks: A Critical Analysis in the Inductive Setting
A. Kravets
Da Chen
V. Namboodiri
236
0
0
28 Jul 2025
A Comprehensive Survey of Challenges and Opportunities of Few-Shot Learning Across Multiple Domains
Andrea Gajic
Sudip Vhaduri
OOD
VLM
364
1
0
05 Apr 2025
Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models
Computer Vision and Pattern Recognition (CVPR), 2025
Zhaoyi Liu
Huan Zhang
AAML
703
7
0
25 Feb 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
SSL
380
4
0
28 Jan 2025
Rethinking the Sample Relations for Few-Shot Classification
Image and Vision Computing (IVC), 2025
Guowei Yin
Sheng Huang
Luwen Huangfu
Yi Zhang
Xiaohong Zhang
VLM
229
1
0
23 Jan 2025
Pseudo-label Refinement for Improving Self-Supervised Learning Systems
Zia-ur-Rehman
Arif Mahmood
Wenxiong Kang
237
3
0
18 Oct 2024
Extremely Fine-Grained Visual Classification over Resembling Glyphs in the Wild
F. Bougourzi
Fadi Dornaika
Chongsheng Zhang
227
0
0
25 Aug 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Erik Landolsi
Fredrik Kahl
DiffM
395
1
0
05 Jun 2024
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification
Eva Pachetti
Sotirios A. Tsaftaris
Sara Colantonio
320
2
0
26 Mar 2024
LSTTN: A Long-Short Term Transformer-based Spatio-temporal Neural Network for Traffic Flow Forecasting
Qinyao Luo
Silu He
Xing Han
Yuhan Wang
Haifeng Li
AI4TS
219
82
0
25 Mar 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning
Rashindrie Perera
Saman K. Halgamuge
428
12
0
07 Mar 2024
Simple but Effective Unsupervised Classification for Specified Domain Images: A Case Study on Fungi Images
Zhaocong liu
Fa Zhang
Lin Cheng
Huanxi Deng
Xiaoyan Yang
Zhenyu Zhang
Chichun Zhou
171
5
0
15 Nov 2023
Context-Aware Meta-Learning
International Conference on Learning Representations (ICLR), 2023
Christopher Fifty
Dennis Duan
Ronald G. Junkins
Ehsan Amid
Jurij Leskovec
Christopher Ré
Sebastian Thrun
LRM
VLM
MLLM
269
24
0
17 Oct 2023
Domain Adaptive Few-Shot Open-Set Learning
IEEE International Conference on Computer Vision (ICCV), 2023
Debabrata Pal
Deeptej More
Sai Bhargav
Dipesh Tamboli
Vaneet Aggarwal
Biplab Banerjee
200
11
0
22 Sep 2023
COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts
IEEE International Conference on Computer Vision (ICCV), 2023
Xiaofeng Mao
YueFeng Chen
Yao Zhu
Da Chen
Hang Su
Rong Zhang
H. Xue
ObjD
OOD
235
31
0
24 Jul 2023
SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification
M. Mendez-Ruiz
Jorge Gonzalez-Zapata
Iván Reyes-Amezcua
Daniel Flores-Araiza
F. Lopez-Tiro
Andres Mendez-Vazquez
Gilberto Ochoa-Ruiz
240
2
0
15 May 2023
Adaptive manifold for imbalanced transductive few-shot learning
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
233
9
0
27 Apr 2023
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets
Anurag Roy
David Johnson Ekka
Saptarshi Ghosh
Abir Das
203
1
0
13 Oct 2022
Class-Specific Channel Attention for Few-Shot Learning
Ying-Cong Chen
J. Hsieh
Ming-Ching Chang
335
0
0
03 Sep 2022
How does the degree of novelty impacts semi-supervised representation learning for novel class retrieval?
Q. Leroy
Olivier Buisson
Alexis Joly
SSL
83
0
0
17 Aug 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification
IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022
Li Shuhan
Xuelong Li
Xiaowei Xu
Kwang-Ting Cheng
324
10
0
03 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
ACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
368
562
0
13 May 2022
Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction
International Conference on Learning Representations (ICLR), 2022
Jiajun He
Austin Tripp
José Miguel Hernández-Lobato
409
27
0
05 May 2022
On the generalization capabilities of FSL methods through domain adaptation: a case study in endoscopic kidney stone image classification
Mexican International Conference on Artificial Intelligence (MICAI), 2022
M. Mendez-Ruiz
F. Lopez-Tiro
Jonathan El Beze
V. Estrade
Gilberto Ochoa-Ruiz
Jacques Hubert
Andres Mendez-Vazquez
Christian Daul
OOD
102
9
0
02 May 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference
Computer Vision and Pattern Recognition (CVPR), 2022
S. Hu
Da Li
Jan Stuhmer
Minyoung Kim
Timothy M. Hospedales
279
235
0
15 Apr 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification
Computer Vision and Pattern Recognition (CVPR), 2022
Philip Chikontwe
Soopil Kim
Sang Hyun Park
206
36
0
25 Mar 2022
Partitioning Image Representation in Contrastive Learning
International Conference on Pattern Recognition (ICPR), 2022
Hyunsub Lee
Heeyoul Choi
SSL
DRL
186
1
0
20 Mar 2022
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
Yuqian Fu
Yu Xie
Yanwei Fu
Yue Yu
Yu-Gang Jiang
206
28
0
15 Mar 2022
Self-Supervised Class-Cognizant Few-Shot Classification
International Conference on Information Photonics (ICIP), 2022
Ojas Kishore Shirekar
Hadi Jamali Rad
SSL
189
6
0
15 Feb 2022
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Prarthana Bhattacharyya
Chenge Li
Xiaonan Zhao
István Fehérvári
Jason Sun
ViT
192
2
0
22 Jan 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning
Social Science Research Network (SSRN), 2022
Peyman Bateni
Jarred Barber
Raghav Goyal
Vaden Masrani
Jan-Willem van de Meent
Leonid Sigal
Frank Wood
BDL
VLM
214
10
0
13 Jan 2022
Dual Path Structural Contrastive Embeddings for Learning Novel Objects
Bingbin Li
E. Cui
Yanan Li
Donghui Wang
Weng Kee Wong
197
1
0
23 Dec 2021
A Survey of Deep Learning for Low-Shot Object Detection
ACM Computing Surveys (CSUR), 2021
Qihan Huang
Haofei Zhang
Mengqi Xue
Mingli Song
Xiuming Zhang
ObjD
454
23
0
06 Dec 2021
Domain Agnostic Few-Shot Learning For Document Intelligence
J. Mandivarapu
Eric Hunch
G. Fung
OOD
VLM
258
1
0
29 Oct 2021
Fine-grained Hand Gesture Recognition in Multi-viewpoint Hand Hygiene
IEEE International Conference on Systems, Man and Cybernetics (SMC), 2021
Huy Q. Vo
Tuong Khanh Long Do
Vinson Pham
Duy V.M. Nguyen
An T. Duong
Quang-Dieu Tran
190
6
0
07 Sep 2021
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning
Scientific Reports (Sci Rep), 2021
Reece Walsh
Mohamed H. Abdelpakey
M. Shehata
Mostafa M. Mohamed
3DH
218
21
0
27 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction
M. Mendez-Ruiz
Jorge Gonzalez-Zapata
Gilberto Ochoa-Ruiz
Andres Mendez-Vazquez
144
1
0
06 Jul 2021
ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition
IEEE International Conference on Computer Vision (ICCV), 2021
Daniela Massiceti
L. Zintgraf
J. Bronskill
Lida Theodorou
Matthew Tobias Harris
Edward Cutrell
C. Morrison
Katja Hofmann
Simone Stumpf
453
50
0
08 Apr 2021
Modular Adaptation for Cross-Domain Few-Shot Learning
Xiaoyu Lin
Meng Ye
Yunye Gong
G. Buracas
Nikoletta Basiou
Ajay Divakaran
Yi Yao
237
5
0
01 Apr 2021
Few Shot Learning With No Labels
Aditya Bharti
V. Balasubramanian
C. V. Jawahar
VLM
168
4
0
26 Dec 2020
Iterative label cleaning for transductive and semi-supervised few-shot learning
IEEE International Conference on Computer Vision (ICCV), 2020
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
428
73
0
14 Dec 2020
Generalized Zero and Few-Shot Transfer for Facial Forgery Detection
Shivangi Aneja
Matthias Nießner
218
48
0
21 Jun 2020
Self-Supervised Prototypical Transfer Learning for Few-Shot Classification
Carlos Medina
A. Devos
Matthias Grossglauser
SSL
190
57
0
19 Jun 2020
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