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Enhancing Few-Shot Image Classification with Unlabelled Examples

Enhancing Few-Shot Image Classification with Unlabelled Examples

17 June 2020
Peyman Bateni
Jarred Barber
Jan Willem van de Meent
Frank D. Wood
    VLM
    SSL
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Papers citing "Enhancing Few-Shot Image Classification with Unlabelled Examples"

12 / 12 papers shown
Title
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
53
1
0
05 Jun 2024
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
AMU-Tuning: Effective Logit Bias for CLIP-based Few-shot Learning
Yuwei Tang
Zhenyi Lin
Qilong Wang
Pengfei Zhu
Qinghua Hu
26
11
0
13 Apr 2024
Flatness Improves Backbone Generalisation in Few-shot Classification
Flatness Improves Backbone Generalisation in Few-shot Classification
Rui Li
Martin Trapp
Marcus Klasson
Arno Solin
39
0
0
11 Apr 2024
Enhancing Few-shot Image Classification with Cosine Transformer
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
19
12
0
13 Nov 2022
Class-Specific Channel Attention for Few-Shot Learning
Ying Chen
J. Hsieh
Ming-Ching Chang
8
0
0
03 Sep 2022
Adversarial Feature Augmentation for Cross-domain Few-shot
  Classification
Adversarial Feature Augmentation for Cross-domain Few-shot Classification
Yan Hu
A. J. Ma
22
47
0
23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDL
VLM
22
17
0
22 Aug 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
36
342
0
13 May 2022
Universal Representations: A Unified Look at Multiple Task and Domain
  Learning
Universal Representations: A Unified Look at Multiple Task and Domain Learning
Wei-Hong Li
Xialei Liu
Hakan Bilen
SSL
OOD
23
27
0
06 Apr 2022
Cross-domain Few-shot Learning with Task-specific Adapters
Cross-domain Few-shot Learning with Task-specific Adapters
Weihong Li
Xialei Liu
Hakan Bilen
OOD
19
113
0
01 Jul 2021
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via
  Differentiable Simulation
Imagining The Road Ahead: Multi-Agent Trajectory Prediction via Differentiable Simulation
Adam Scibior
Vasileios Lioutas
Daniele Reda
Peyman Bateni
Frank D. Wood
VGen
40
47
0
22 Apr 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
243
11,659
0
09 Mar 2017
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