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Pushing the Limits of Simple Pipelines for Few-Shot Learning: External
  Data and Fine-Tuning Make a Difference

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
15 April 2022
S. Hu
Da Li
Jan Stuhmer
Minyoung Kim
Timothy M. Hospedales
ArXiv (abs)PDFHTML

Papers citing "Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference"

50 / 56 papers shown
Title
Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
Kristi Topollai
A. Choromańska
92
0
0
03 Oct 2025
Data-Efficient Point Cloud Semantic Segmentation Pipeline for Unimproved Roads
Data-Efficient Point Cloud Semantic Segmentation Pipeline for Unimproved Roads
Andrew Yarovoi
Christopher R. Valenta
3DPC
104
0
0
26 Aug 2025
Foundation Models for Bioacoustics -- a Comparative Review
Foundation Models for Bioacoustics -- a Comparative Review
Raphael Schwinger
Paria Vali Zadeh
Lukas Rauch
Mats Kurz
Tom Hauschild
Sam Lapp
Sven Tomforde
VLM
97
1
0
02 Aug 2025
Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation
Cross-Domain Few-Shot Learning with Coalescent Projections and Latent Space Reservation
Naeem Paeedeh
Mahardhika Pratama
Imam Mustafa Kamal
Wolfgang Mayer
Jimmy Cao
Ryszard Kowlczyk
92
0
0
21 Jul 2025
Flows and Diffusions on the Neural Manifold
Flows and Diffusions on the Neural Manifold
Daniel Saragih
Deyu Cao
Tejas Balaji
DiffMAI4CE
178
1
0
14 Jul 2025
Reliable Few-shot Learning under Dual Noises
Reliable Few-shot Learning under Dual NoisesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Ji Zhang
Jingkuan Song
Lianli Gao
Andrii Zadaianchuk
Heng Tao Shen
NoLa
253
7
0
19 Jun 2025
Don't throw the baby out with the bathwater: How and why deep learning for ARC
Don't throw the baby out with the bathwater: How and why deep learning for ARC
Jack Cole
Mohamed Osman
LRM
267
2
0
17 Jun 2025
The Sample Complexity of Parameter-Free Stochastic Convex Optimization
The Sample Complexity of Parameter-Free Stochastic Convex Optimization
Jared Lawrence
Ari Kalinsky
Hannah Bradfield
Y. Carmon
Oliver Hinder
137
0
0
12 Jun 2025
Multiple Stochastic Prompt Tuning for Few-shot Adaptation under Extreme Domain Shift
Multiple Stochastic Prompt Tuning for Few-shot Adaptation under Extreme Domain Shift
Debarshi Brahma
Soma Biswas
VLM
193
0
0
04 Jun 2025
Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
Shuai Yi
Yixiong Zou
Yuhua Li
Ruixuan Li
CLL
153
0
0
03 Jun 2025
Random Registers for Cross-Domain Few-Shot Learning
Random Registers for Cross-Domain Few-Shot Learning
Shuai Yi
Yixiong Zou
Yuhua Li
Ruixuan Li
189
0
0
03 Jun 2025
HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning
HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning
Donggyun Kim
Chanwoo Kim
Seunghoon Hong
128
0
0
21 Apr 2025
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic TransformationsComputer Vision and Pattern Recognition (CVPR), 2025
Krishna Sri Ipsit Mantri
Carola-Bibiane Schönlieb
Bruno Ribeiro
Chaim Baskin
Moshe Eliasof
359
5
0
09 Feb 2025
Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation LearningIEEE Transactions on Image Processing (IEEE TIP), 2025
Qianyu Guo
Jingrong Wu
Tianxing Wu
Hongru Wang
Weifeng Ge
Wenqiang Zhang
217
1
0
03 Feb 2025
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
UNEM: UNrolled Generalized EM for Transductive Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2024
Long Zhou
Fereshteh Shakeri
Aymen Sadraoui
Mounir Kaaniche
J. Pesquet
Ismail Ben Ayed
VLM
512
1
0
21 Dec 2024
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain
  Few-shot Learning through Semantic-Guided Prompting
Prompt as Free Lunch: Enhancing Diversity in Source-Free Cross-domain Few-shot Learning through Semantic-Guided Prompting
Linhai Zhuo
Zheng Wang
Yuqian Fu
Tianwen Qian
VLM
337
6
0
01 Dec 2024
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio SensorsIEEE Internet of Things Journal (IEEE IoT J.), 2024
Manuele Rusci
Francesco Paci
Marco Fariselli
Eric Flamand
Tinne Tuytelaars
193
3
0
22 Aug 2024
Siamese Transformer Networks for Few-shot Image Classification
Siamese Transformer Networks for Few-shot Image Classification
Weihao Jiang
Shuoxi Zhang
Kun He
ViT
259
0
0
16 Jul 2024
The Balanced-Pairwise-Affinities Feature Transform
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam
Simon Korman
214
4
0
25 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Erik Landolsi
Fredrik Kahl
DiffM
304
1
0
05 Jun 2024
Flatness Improves Backbone Generalisation in Few-shot Classification
Flatness Improves Backbone Generalisation in Few-shot ClassificationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Rui Li
Martin Trapp
Talal Alrawajfeh
Arno Solin
320
1
0
11 Apr 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
243
0
0
09 Apr 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real
  World
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Bani Mallick
UQCV
228
1
0
29 Mar 2024
Few-shot Object Localization
Few-shot Object Localization
Yunhan Ren
Bo Li
Chengyang Zhang
Yong Zhang
Baocai Yin
249
1
0
19 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and
  Applications
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
Minyang Hu
Hong Chang
Zong Guo
Bingpeng Ma
Shiguang Shan
Xilin Chen
VLM
257
1
0
06 Mar 2024
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through
  Human-AI Collaboration
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration
Nahyun Kwon
Tong Sun
Yuyang Gao
Bo Pan
Xu Wang
Jeeeun Kim
S. Hong
210
7
0
29 Jan 2024
TransMed: Large Language Models Enhance Vision Transformer for
  Biomedical Image Classification
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification
Kaipeng Zheng
Weiran Huang
Lichao Sun
LM&MAMedImVLM
254
0
0
12 Dec 2023
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS
  Predictor
How Much Is Hidden in the NAS Benchmarks? Few-Shot Adaptation of a NAS Predictor
H. Loya
Łukasz Dudziak
Abhinav Mehrotra
Royson Lee
Javier Fernandez-Marques
Nicholas D. Lane
Hongkai Wen
OOD
179
1
0
30 Nov 2023
De-Diffusion Makes Text a Strong Cross-Modal Interface
De-Diffusion Makes Text a Strong Cross-Modal InterfaceComputer Vision and Pattern Recognition (CVPR), 2023
Chen Wei
Chenxi Liu
Siyuan Qiao
Zhishuai Zhang
Alan Yuille
Jiahui Yu
VLMDiffM
215
16
0
01 Nov 2023
Learning to Generate Parameters of ConvNets for Unseen Image Data
Learning to Generate Parameters of ConvNets for Unseen Image DataIEEE Transactions on Image Processing (IEEE TIP), 2023
Shiye Wang
Kaituo Feng
Changsheng Li
Ye Yuan
Guoren Wang
255
1
0
18 Oct 2023
Context-Aware Meta-Learning
Context-Aware Meta-LearningInternational Conference on Learning Representations (ICLR), 2023
Christopher Fifty
Dennis Duan
Ronald G. Junkins
Ehsan Amid
Jurij Leskovec
Christopher Ré
Sebastian Thrun
LRMVLMMLLM
220
24
0
17 Oct 2023
Masked Momentum Contrastive Learning for Zero-shot Semantic
  Understanding
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding
Jiantao Wu
Shentong Mo
Muhammad Awais
Sara Atito
Zhenhua Feng
J. Kittler
VLM
168
4
0
22 Aug 2023
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
A Foundation Language-Image Model of the Retina (FLAIR): Encoding Expert Knowledge in Text Supervision
Julio Silva-Rodríguez
H. Chakor
Riadh Kobbi
Jose Dolz
Ismail Ben Ayed
VLMMedIm
308
75
0
15 Aug 2023
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation
  and Beyond
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and BeyondIEEE transactions on multimedia (IEEE TMM), 2023
Chen Shuai
Meng Fanman
Runtong Zhang
Heqian Qiu
Hongliang Li
Wu Qingbo
Xu Linfeng
VLM
187
29
0
15 Aug 2023
Improving neural network representations using human similarity
  judgments
Improving neural network representations using human similarity judgmentsNeural Information Processing Systems (NeurIPS), 2023
Lukas Muttenthaler
Lorenz Linhardt
Jonas Dippel
Robert A. Vandermeulen
Katherine L. Hermann
Andrew Kyle Lampinen
Simon Kornblith
267
41
0
07 Jun 2023
Meta-DM: Applications of Diffusion Models on Few-Shot Learning
Meta-DM: Applications of Diffusion Models on Few-Shot Learning
W. Hu
Xiurong Jiang
Jiarun Liu
Yuqi Yang
Hui Tian
DiffM
153
7
0
14 May 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Meta Omnium: A Benchmark for General-Purpose Learning-to-LearnComputer Vision and Pattern Recognition (CVPR), 2023
Ondrej Bohdal
Yinbing Tian
Yongshuo Zong
Ruchika Chavhan
Da Li
Henry Gouk
Li Guo
Timothy M. Hospedales
247
7
0
12 May 2023
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation
Exploring Incompatible Knowledge Transfer in Few-shot Image GenerationComputer Vision and Pattern Recognition (CVPR), 2023
Yunqing Zhao
Chao Du
Milad Abdollahzadeh
Tianyu Pang
Min Lin
Shuicheng Yan
Ngai-Man Cheung
193
24
0
15 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Meta-Learning with a Geometry-Adaptive PreconditionerComputer Vision and Pattern Recognition (CVPR), 2023
Suhyun Kang
Duhun Hwang
Moonjung Eo
Taesup Kim
Wonjong Rhee
AI4CE
208
21
0
04 Apr 2023
Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot
  Sketch-based Image Retrieval
Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot Sketch-based Image Retrieval
Leo Sampaio Ferraz Ribeiro
M. Ponti
250
3
0
29 Mar 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive
  Few-shot Learning with Hyperspherical Embeddings
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical EmbeddingsComputer Vision and Pattern Recognition (CVPR), 2023
Daniel J. Trosten
Rwiddhi Chakraborty
Sigurd Løkse
Kristoffer Wickstrøm
Robert Jenssen
Michael C. Kampffmeyer
149
23
0
16 Mar 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
Exploring Efficient Few-shot Adaptation for Vision Transformers
C. Xu
Siqian Yang
Yabiao Wang
Zhanxiong Wang
Yanwei Fu
Xiangyang Xue
155
23
0
06 Jan 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
301
22
0
03 Jan 2023
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for
  Few-shot Image Classification
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image ClassificationIEEE transactions on multimedia (IEEE TMM), 2022
Fang Peng
Xiaoshan Yang
Linhui Xiao
Yaowei Wang
Changsheng Xu
VLM
160
63
0
28 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Few-shot Metric Learning: Online Adaptation of Embedding for RetrievalAsian Conference on Computer Vision (ACCV), 2022
Deunsol Jung
Dahyun Kang
Suha Kwak
Minsu Cho
CLL
109
13
0
14 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer
Enhancing Few-shot Image Classification with Cosine TransformerIEEE Access (IEEE Access), 2022
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
204
17
0
13 Nov 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic
  Disorders
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic DisordersMedical Informatics Europe (MIE), 2022
Ömer Sümer
Fabio Hellmann
Alexander Hustinx
Tzung-Chien Hsieh
Elisabeth André
P. Krawitz
CVBM
200
7
0
23 Oct 2022
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained
  Models
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained ModelsBritish Machine Vision Conference (BMVC), 2022
Omiros Pantazis
Gabriel J. Brostow
Kate E. Jones
Oisin Mac Aodha
VLM
168
48
0
07 Oct 2022
Generalization in Neural Networks: A Broad Survey
Generalization in Neural Networks: A Broad SurveyNeurocomputing (Neurocomputing), 2022
Chris Rohlfs
OODAI4CE
205
16
0
04 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning
Ying-Cong Chen
J. Hsieh
Ming-Ching Chang
234
0
0
03 Sep 2022
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