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1910.03560
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When Does Self-supervision Improve Few-shot Learning?
8 October 2019
Jong-Chyi Su
Subhransu Maji
B. Hariharan
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Papers citing
"When Does Self-supervision Improve Few-shot Learning?"
50 / 95 papers shown
Title
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
SSL
56
4
0
28 Jan 2025
Manta: Enhancing Mamba for Few-Shot Action Recognition of Long Sub-Sequence
Wenbo Huang
Jinghui Zhang
Bernard Ghanem
Lei Zhang
Shuoyuan Wang
Fang Dong
Jiahui Jin
Takahiro Ogawa
Miki Haseyama
Mamba
93
1
0
10 Dec 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers
Asifullah Khan
A. Sohail
M. Fiaz
Mehdi Hassan
Tariq Habib Afridi
...
Muhammad Zaigham Zaheer
Kamran Ali
Tangina Sultana
Ziaurrehman Tanoli
Naeem Akhter
45
3
0
30 Aug 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation
Min Zhang
Haoxuan Li
Fei Wu
Kun Kuang
OODD
24
12
0
30 Apr 2024
Reliable or Deceptive? Investigating Gated Features for Smooth Visual Explanations in CNNs
Soham Mitra
Atri Sukul
S. K. Roy
Pravendra Singh
Vinay K. Verma
AAML
FAtt
38
0
0
30 Apr 2024
Boosting Few-Shot Learning with Disentangled Self-Supervised Learning and Meta-Learning for Medical Image Classification
Eva Pachetti
Sotirios A. Tsaftaris
Sara Colantonio
35
2
0
26 Mar 2024
Boosting Meta-Training with Base Class Information for Few-Shot Learning
Weihao Jiang
Guodong Liu
Di He
Kun He
CLL
46
1
0
06 Mar 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
39
0
0
29 Jan 2024
GeNIe: Generative Hard Negative Images Through Diffusion
Soroush Abbasi Koohpayegani
Anuj Singh
K. Navaneet
Hadi Jamali Rad
Hamed Pirsiavash
VLM
DiffM
26
4
0
05 Dec 2023
A Principled Hierarchical Deep Learning Approach to Joint Image Compression and Classification
Siyu Qi
Achintha Wijesinghe
Lahiru D. Chamain
Zhi Ding
14
0
0
30 Oct 2023
PARTICLE: Part Discovery and Contrastive Learning for Fine-grained Recognition
Oindrila Saha
Subhransu Maji
SSL
32
2
0
25 Sep 2023
Graph Contrastive Learning Meets Graph Meta Learning: A Unified Method for Few-shot Node Tasks
Hao Liu
Jiarui Feng
Lecheng Kong
Dacheng Tao
Yixin Chen
Muhan Zhang
OffRL
26
5
0
19 Sep 2023
Few-shot Class-Incremental Semantic Segmentation via Pseudo-Labeling and Knowledge Distillation
Chen Jiang
Tao Wang
Sien Li
Jinyang Wang
Shirui Wang
Antonios Antoniou
CLL
16
1
0
05 Aug 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
Jing Wu
N. Hovakimyan
Jennifer Hobbs
32
14
0
27 Jul 2023
Source Identification: A Self-Supervision Task for Dense Prediction
Shuai Chen
Subhradeep Kayal
Marleen de Bruijne
SSL
19
0
0
05 Jul 2023
Instance-based Max-margin for Practical Few-shot Recognition
Minghao Fu
Kevin Zhu
Jianxin Wu
35
2
0
27 May 2023
Pulling Target to Source: A New Perspective on Domain Adaptive Semantic Segmentation
Haochen Wang
Yujun Shen
Jingjing Fei
Wei Li
Liwei Wu
Yuxi Wang
Zhaoxiang Zhang
OOD
46
7
0
23 May 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Yi Rong
Xiongbo Lu
Zhaoyang Sun
Yaxiong Chen
Shengwu Xiong
26
10
0
26 Apr 2023
Clustered-patch Element Connection for Few-shot Learning
Jinxiang Lai
Siqian Yang
Junhong Zhou
Wenlong Wu
Xiao Chen
Jun Liu
Bin-Bin Gao
Chengjie Wang
26
8
0
20 Apr 2023
Towards Label-Efficient Incremental Learning: A Survey
Mert Kilickaya
Joost van de Weijer
Yuki M. Asano
CLL
27
4
0
01 Feb 2023
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
C. Xu
Chen Liu
Xinwei Sun
Siqian Yang
Yabiao Wang
Chengjie Wang
Yanwei Fu
24
16
0
29 Nov 2022
RankDNN: Learning to Rank for Few-shot Learning
Qianyu Guo
Hongtong Gong
Xu Wei
Yanwei Fu
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
27
14
0
28 Nov 2022
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective
Jinxiang Lai
Siqian Yang
Guannan Jiang
Xi-Zhao Wang
Yuxi Li
...
Xiaozhong Liu
Bin-Bin Gao
Wei Zhang
Yuan Xie
Chengjie Wang
46
6
0
02 Nov 2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning
Jinxiang Lai
Siqian Yang
Wenlong Liu
Yi Zeng
Zhongyi Huang
Wenlong Wu
Jun Liu
Bin-Bin Gao
Chengjie Wang
VLM
23
19
0
02 Nov 2022
Visual-Semantic Contrastive Alignment for Few-Shot Image Classification
Mohamed Afham
Ranga Rodrigo
VLM
19
5
0
20 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
34
3
0
05 Oct 2022
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search
Bharti Munjal
Alessandro Flaborea
S. Amin
F. Tombari
Fabio Galasso
13
23
0
21 Sep 2022
Few-Shot Classification with Contrastive Learning
Zhanyuan Yang
Jinghua Wang
Ying J. Zhu
OODD
MQ
45
55
0
17 Sep 2022
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation
Ye Du
Yujun Shen
Haochen Wang
Jingjing Fei
Wei Li
Liwei Wu
Rui Zhao
Zehua Fu
Qingjie Liu
42
29
0
15 Sep 2022
A Study on Representation Transfer for Few-Shot Learning
Chun-Nam Yu
Yi Xie
SSL
16
1
0
05 Sep 2022
Learning Primitive-aware Discriminative Representations for Few-shot Learning
Jianpeng Yang
Yuhang Niu
Xuemei Xie
G. Shi
16
1
0
20 Aug 2022
How does the degree of novelty impacts semi-supervised representation learning for novel class retrieval?
Q. Leroy
Olivier Buisson
Alexis Joly
SSL
19
0
0
17 Aug 2022
Improving Test-Time Adaptation via Shift-agnostic Weight Regularization and Nearest Source Prototypes
Sungha Choi
Seunghan Yang
Seokeon Choi
Sungrack Yun
TTA
OOD
30
64
0
24 Jul 2022
Self-Supervision Can Be a Good Few-Shot Learner
Yuning Lu
Liangjiang Wen
Jianzhuang Liu
Yajing Liu
Xinmei Tian
SSL
14
37
0
19 Jul 2022
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation
M. Zhang
Siteng Huang
Wenbin Li
Donglin Wang
VLM
23
32
0
14 Jul 2022
Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach
Prashant Bhat
Bahram Zonooz
Elahe Arani
SSL
CLL
24
12
0
13 Jul 2022
iBoot: Image-bootstrapped Self-Supervised Video Representation Learning
F. Saleh
Fuwen Tan
Adrian Bulat
Georgios Tzimiropoulos
Brais Martínez
SSL
44
1
0
16 Jun 2022
Rethinking Generalization in Few-Shot Classification
Markus Hiller
Rongkai Ma
Mehrtash Harandi
Tom Drummond
OCL
VLM
30
55
0
15 Jun 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples
Duong H. Le
Khoi Duc Minh Nguyen
Khoi Nguyen
Quoc-Huy Tran
Rang Nguyen
Binh-Son Hua
OODD
37
39
0
08 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
50
344
0
13 May 2022
Self-Supervised Graph Neural Network for Multi-Source Domain Adaptation
Jin Yuan
Feng Hou
Yangzhou Du
Zhongchao Shi
Xin Geng
Jianping Fan
Yong Rui
SSL
OOD
20
19
0
08 Apr 2022
LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity
Tejan Karmali
Abhinav Atrishi
Sai Sree Harsha
Susmit Agrawal
Varun Jampani
R. Venkatesh Babu
SSL
28
5
0
06 Apr 2022
Matching Feature Sets for Few-Shot Image Classification
Arman Afrasiyabi
Hugo Larochelle
Jean-François Lalonde
Christian Gagné
VLM
30
72
0
02 Apr 2022
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime
Prarthana Bhattacharyya
Chenge Li
Xiaonan Zhao
István Fehérvári
Jason Sun
ViT
34
2
0
22 Jan 2022
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis
Shuai Zhang
Hao Wu
Sijia Liu
Pin-Yu Chen
Jinjun Xiong
SSL
MLT
41
22
0
21 Jan 2022
Multi-level Second-order Few-shot Learning
Hongguang Zhang
Hongdong Li
Piotr Koniusz
13
33
0
15 Jan 2022
Rethinking Nearest Neighbors for Visual Classification
Menglin Jia
Bor-Chun Chen
Zuxuan Wu
Claire Cardie
Serge J. Belongie
Ser-Nam Lim
SSL
41
10
0
15 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Rongkai Ma
Pengfei Fang
Tom Drummond
Mehrtash Harandi
21
45
0
03 Dec 2021
Semi-Supervised Learning with Taxonomic Labels
Jong-Chyi Su
Subhransu Maji
41
10
0
23 Nov 2021
Fine-Grained Image Analysis with Deep Learning: A Survey
Xiu-Shen Wei
Yi-Zhe Song
Oisin Mac Aodha
Jianxin Wu
Yuxin Peng
Jinhui Tang
Jian Yang
Serge J. Belongie
74
279
0
11 Nov 2021
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