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2204.07305
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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
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Papers citing
"Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference"
50 / 58 papers shown
Task-Level Contrastiveness for Cross-Domain Few-Shot Learning
Kristi Topollai
A. Choromańska
128
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0
03 Oct 2025
Data-Efficient Point Cloud Semantic Segmentation Pipeline for Unimproved Roads
Andrew Yarovoi
Christopher R. Valenta
3DPC
168
0
0
26 Aug 2025
Foundation Models for Bioacoustics -- a Comparative Review
Raphael Schwinger
Paria Vali Zadeh
Lukas Rauch
Mats Kurz
Tom Hauschild
Sam Lapp
Sven Tomforde
VLM
141
1
0
02 Aug 2025
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
147
0
0
21 Jul 2025
Flows and Diffusions on the Neural Manifold
Daniel Saragih
Deyu Cao
Tejas Balaji
DiffM
AI4CE
244
2
0
14 Jul 2025
Reliable Few-shot Learning under Dual Noises
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Ji Zhang
Jingkuan Song
Lianli Gao
Andrii Zadaianchuk
Heng Tao Shen
NoLa
322
7
0
19 Jun 2025
Don't throw the baby out with the bathwater: How and why deep learning for ARC
Jack Cole
Mohamed Osman
LRM
351
2
0
17 Jun 2025
The Sample Complexity of Parameter-Free Stochastic Convex Optimization
Jared Lawrence
Ari Kalinsky
Hannah Bradfield
Y. Carmon
Oliver Hinder
200
0
0
12 Jun 2025
Multiple Stochastic Prompt Tuning for Few-shot Adaptation under Extreme Domain Shift
Debarshi Brahma
Soma Biswas
VLM
265
0
0
04 Jun 2025
Revisiting Continuity of Image Tokens for Cross-domain Few-shot Learning
Shuai Yi
Yixiong Zou
Yuhua Li
Ruixuan Li
CLL
201
0
0
03 Jun 2025
Random Registers for Cross-Domain Few-Shot Learning
Shuai Yi
Yixiong Zou
Yuhua Li
Ruixuan Li
237
0
0
03 Jun 2025
HyperFlow: Gradient-Free Emulation of Few-Shot Fine-Tuning
Donggyun Kim
Chanwoo Kim
Seunghoon Hong
183
0
0
21 Apr 2025
DiTASK: Multi-Task Fine-Tuning with Diffeomorphic Transformations
Computer Vision and Pattern Recognition (CVPR), 2025
Krishna Sri Ipsit Mantri
Carola-Bibiane Schönlieb
Bruno Ribeiro
Chaim Baskin
Moshe Eliasof
472
5
0
09 Feb 2025
Enhancing Environmental Robustness in Few-shot Learning via Conditional Representation Learning
IEEE Transactions on Image Processing (IEEE TIP), 2025
Qianyu Guo
Jingrong Wu
Tianxing Wu
Hongru Wang
Weifeng Ge
Wenqiang Zhang
282
1
0
03 Feb 2025
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
Computer Vision and Pattern Recognition (CVPR), 2024
Long Zhou
Fereshteh Shakeri
Aymen Sadraoui
Mounir Kaaniche
J. Pesquet
Ismail Ben Ayed
VLM
620
1
0
21 Dec 2024
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
404
6
0
01 Dec 2024
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
IEEE Internet of Things Journal (IEEE IoT J.), 2024
Manuele Rusci
Francesco Paci
Marco Fariselli
Eric Flamand
Tinne Tuytelaars
257
3
0
22 Aug 2024
Siamese Transformer Networks for Few-shot Image Classification
Weihao Jiang
Shuoxi Zhang
Kun He
ViT
311
2
0
16 Jul 2024
The Balanced-Pairwise-Affinities Feature Transform
Daniel Shalam
Simon Korman
266
4
0
25 Jun 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Erik Landolsi
Fredrik Kahl
DiffM
391
1
0
05 Jun 2024
Flatness Improves Backbone Generalisation in Few-shot Classification
IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024
Rui Li
Martin Trapp
Talal Alrawajfeh
Arno Solin
430
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
Ching-Kai Lin
Di-Chun Wei
Yun-Chien Cheng
351
0
0
09 Apr 2024
Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
Bowen Lei
Dongkuan Xu
Ruqi Zhang
Bani Mallick
UQCV
280
1
0
29 Mar 2024
Few-shot Object Localization
Yunhan Ren
Bo Li
Chengyang Zhang
Yong Zhang
Baocai Yin
317
1
0
19 Mar 2024
Task Attribute Distance for Few-Shot Learning: Theoretical Analysis and Applications
Minyang Hu
Hong Chang
Zong Guo
Bingpeng Ma
Shiguang Shan
Xilin Chen
VLM
371
1
0
06 Mar 2024
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
275
7
0
29 Jan 2024
TransMed: Large Language Models Enhance Vision Transformer for Biomedical Image Classification
Kaipeng Zheng
Weiran Huang
Lichao Sun
LM&MA
MedIm
VLM
290
0
0
12 Dec 2023
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
241
1
0
30 Nov 2023
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
Young D. Kwon
Jagmohan Chauhan
Hong Jia
Stylianos I. Venieris
Cecilia Mascolo
238
20
0
19 Nov 2023
De-Diffusion Makes Text a Strong Cross-Modal Interface
Computer Vision and Pattern Recognition (CVPR), 2023
Chen Wei
Chenxi Liu
Siyuan Qiao
Zhishuai Zhang
Alan Yuille
Jiahui Yu
VLM
DiffM
267
17
0
01 Nov 2023
Learning to Generate Parameters of ConvNets for Unseen Image Data
IEEE Transactions on Image Processing (IEEE TIP), 2023
Shiye Wang
Kaituo Feng
Changsheng Li
Ye Yuan
Guoren Wang
303
1
0
18 Oct 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
268
24
0
17 Oct 2023
Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding
Jiantao Wu
Shentong Mo
Muhammad Awais
Sara Atito
Zhenhua Feng
J. Kittler
VLM
208
4
0
22 Aug 2023
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
VLM
MedIm
389
79
0
15 Aug 2023
Visual and Textual Prior Guided Mask Assemble for Few-Shot Segmentation and Beyond
IEEE transactions on multimedia (IEEE TMM), 2023
Chen Shuai
Meng Fanman
Runtong Zhang
Heqian Qiu
Hongliang Li
Wu Qingbo
Xu Linfeng
VLM
211
31
0
15 Aug 2023
Improving neural network representations using human similarity judgments
Neural Information Processing Systems (NeurIPS), 2023
Lukas Muttenthaler
Lorenz Linhardt
Jonas Dippel
Robert A. Vandermeulen
Katherine L. Hermann
Andrew Kyle Lampinen
Simon Kornblith
311
43
0
07 Jun 2023
Instance-based Max-margin for Practical Few-shot Recognition
Computer Vision and Pattern Recognition (CVPR), 2023
Minghao Fu
Kevin Zhu
Jianxin Wu
237
7
0
27 May 2023
Meta-DM: Applications of Diffusion Models on Few-Shot Learning
W. Hu
Xiurong Jiang
Jiarun Liu
Yuqi Yang
Hui Tian
DiffM
195
7
0
14 May 2023
Meta Omnium: A Benchmark for General-Purpose Learning-to-Learn
Computer Vision and Pattern Recognition (CVPR), 2023
Ondrej Bohdal
Yinbing Tian
Yongshuo Zong
Ruchika Chavhan
Da Li
Henry Gouk
Li Guo
Timothy M. Hospedales
308
7
0
12 May 2023
Exploring Incompatible Knowledge Transfer in Few-shot Image Generation
Computer Vision and Pattern Recognition (CVPR), 2023
Yunqing Zhao
Chao Du
Milad Abdollahzadeh
Tianyu Pang
Min Lin
Shuicheng Yan
Ngai-Man Cheung
241
26
0
15 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner
Computer Vision and Pattern Recognition (CVPR), 2023
Suhyun Kang
Duhun Hwang
Moonjung Eo
Taesup Kim
Wonjong Rhee
AI4CE
308
25
0
04 Apr 2023
Sketch-an-Anchor: Sub-epoch Fast Model Adaptation for Zero-shot Sketch-based Image Retrieval
Leo Sampaio Ferraz Ribeiro
M. Ponti
298
3
0
29 Mar 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical Embeddings
Computer Vision and Pattern Recognition (CVPR), 2023
Daniel J. Trosten
Rwiddhi Chakraborty
Sigurd Løkse
Kristoffer Wickstrøm
Robert Jenssen
Michael C. Kampffmeyer
177
24
0
16 Mar 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
C. Xu
Siqian Yang
Yabiao Wang
Zhanxiong Wang
Yanwei Fu
Xiangyang Xue
186
23
0
06 Jan 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
IEEE 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
350
23
0
03 Jan 2023
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image Classification
IEEE transactions on multimedia (IEEE TMM), 2022
Fang Peng
Xiaoshan Yang
Linhui Xiao
Yaowei Wang
Changsheng Xu
VLM
220
65
0
28 Nov 2022
Few-shot Metric Learning: Online Adaptation of Embedding for Retrieval
Asian Conference on Computer Vision (ACCV), 2022
Deunsol Jung
Dahyun Kang
Suha Kwak
Minsu Cho
CLL
136
13
0
14 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer
IEEE Access (IEEE Access), 2022
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
298
18
0
13 Nov 2022
Few-Shot Meta Learning for Recognizing Facial Phenotypes of Genetic Disorders
Medical Informatics Europe (MIE), 2022
Ömer Sümer
Fabio Hellmann
Alexander Hustinx
Tzung-Chien Hsieh
Elisabeth André
P. Krawitz
CVBM
240
7
0
23 Oct 2022
SVL-Adapter: Self-Supervised Adapter for Vision-Language Pretrained Models
British Machine Vision Conference (BMVC), 2022
Omiros Pantazis
Gabriel J. Brostow
Kate E. Jones
Oisin Mac Aodha
VLM
235
50
0
07 Oct 2022
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