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Selecting Relevant Features from a Multi-domain Representation for
  Few-shot Classification
v1v2 (latest)

Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification

European Conference on Computer Vision (ECCV), 2020
20 March 2020
Nikita Dvornik
Cordelia Schmid
Julien Mairal
    VLM
ArXiv (abs)PDFHTML

Papers citing "Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification"

16 / 16 papers shown
Neural Fine-Tuning Search for Few-Shot Learning
Neural Fine-Tuning Search for Few-Shot LearningInternational Conference on Learning Representations (ICLR), 2023
Panagiotis Eustratiadis
Łukasz Dudziak
Da Li
Timothy M. Hospedales
281
7
0
15 Jun 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
358
9
0
12 May 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model
  Fine-tuning
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning
Xinyun Zhang
Lanqing Hong
OODD
298
0
0
13 Apr 2023
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image Classification
Meta-Album: Multi-domain Meta-Dataset for Few-Shot Image ClassificationNeural Information Processing Systems (NeurIPS), 2023
I. Ullah
Dustin Carrión-Ojeda
Sergio Escalera
Isabelle M Guyon
Mike Huisman
F. Mohr
Jan N van Rijn
Haozhe Sun
Joaquin Vanschoren
P. Vu
VLM
280
47
0
16 Feb 2023
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results
Dustin Carrión-Ojeda
Hong Chen
Adrian El Baz
Sergio Escalera
Chaoyu Guan
Isabelle M Guyon
I. Ullah
Xin Eric Wang
Wenwu Zhu
VLM
217
7
0
31 Aug 2022
Impact of Aliasing on Generalization in Deep Convolutional Networks
Impact of Aliasing on Generalization in Deep Convolutional NetworksIEEE International Conference on Computer Vision (ICCV), 2021
C. N. Vasconcelos
Hugo Larochelle
Vincent Dumoulin
Rob Romijnders
Nicolas Le Roux
Ross Goroshin
OOD
249
40
0
07 Aug 2021
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation
Anti-aliasing Semantic Reconstruction for Few-Shot Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2021
Binghao Liu
Yao Ding
Jianbin Jiao
Xiangyang Ji
QiXiang Ye
242
59
0
01 Jun 2021
FedProto: Federated Prototype Learning across Heterogeneous Clients
FedProto: Federated Prototype Learning across Heterogeneous ClientsAAAI Conference on Artificial Intelligence (AAAI), 2021
Yue Tan
Guodong Long
Lu Liu
Tianyi Zhou
Qinghua Lu
Jing Jiang
Chengqi Zhang
FedML
781
813
0
01 May 2021
Orthogonal Projection Loss
Orthogonal Projection LossIEEE International Conference on Computer Vision (ICCV), 2021
Kanchana Ranasinghe
Muzammal Naseer
Munawar Hayat
Salman Khan
Fahad Shahbaz Khan
VLM
299
97
0
25 Mar 2021
A linearized framework and a new benchmark for model selection for
  fine-tuning
A linearized framework and a new benchmark for model selection for fine-tuning
Aditya Deshpande
Alessandro Achille
Avinash Ravichandran
Hao Li
Luca Zancato
Charless C. Fowlkes
Rahul Bhotika
Stefano Soatto
Pietro Perona
ALM
394
57
0
29 Jan 2021
Supervised Momentum Contrastive Learning for Few-Shot Classification
Supervised Momentum Contrastive Learning for Few-Shot Classification
Orchid Majumder
Avinash Ravichandran
Subhransu Maji
Alessandro Achille
M. Polito
Stefano Soatto
SSL
245
13
0
26 Jan 2021
An Effective Anti-Aliasing Approach for Residual Networks
An Effective Anti-Aliasing Approach for Residual Networks
C. N. Vasconcelos
Hugo Larochelle
Vincent Dumoulin
Nicolas Le Roux
Ross Goroshin
SupR
205
33
0
20 Nov 2020
Scalable Transfer Learning with Expert Models
Scalable Transfer Learning with Expert Models
J. Puigcerver
C. Riquelme
Basil Mustafa
Cédric Renggli
André Susano Pinto
Sylvain Gelly
Daniel Keysers
N. Houlsby
370
70
0
28 Sep 2020
Dataset Bias in Few-shot Image Recognition
Dataset Bias in Few-shot Image Recognition
Shuqiang Jiang
Yaohui Zhu
Chenlong Liu
Xinhang Song
Xiangyang Li
Weiqing Min
456
28
0
18 Aug 2020
A Universal Representation Transformer Layer for Few-Shot Image
  Classification
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu
William L. Hamilton
Guodong Long
Jing Jiang
Hugo Larochelle
ViT
560
141
0
21 Jun 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot LearningIEEE International Conference on Computer Vision (ICCV), 2020
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
913
449
0
09 Mar 2020
1
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