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Few-Shot Learning via Saliency-guided Hallucination of Samples

Few-Shot Learning via Saliency-guided Hallucination of Samples

6 April 2019
Hongguang Zhang
Jing Zhang
Piotr Koniusz
ArXivPDFHTML

Papers citing "Few-Shot Learning via Saliency-guided Hallucination of Samples"

34 / 34 papers shown
Title
Few-shot Action Recognition with Captioning Foundation Models
Few-shot Action Recognition with Captioning Foundation Models
Xiang Wang
Shiwei Zhang
Hangjie Yuan
Yingya Zhang
Changxin Gao
Deli Zhao
Nong Sang
VLM
28
7
0
16 Oct 2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided
  Enhancement
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement
Zhen-Hu Ning
Zhuotao Tian
Guangming Lu
Wenjie Pei
3DPC
26
14
0
06 Aug 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced
  Few-Shot Learning in Remote Sensing
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
Hallucination Improves the Performance of Unsupervised Visual
  Representation Learning
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu
Jennifer Hobbs
N. Hovakimyan
SSL
29
21
0
22 Jul 2023
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold for imbalanced transductive few-shot learning
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
21
6
0
27 Apr 2023
Learning Partial Correlation based Deep Visual Representation for Image
  Classification
Learning Partial Correlation based Deep Visual Representation for Image Classification
Saimunur Rahman
Piotr Koniusz
Lei Wang
Luping Zhou
Peyman Moghadam
Changming Sun
SSL
27
9
0
23 Apr 2023
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot
  Keypoint Detection
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection
Changsheng Lu
Hao Zhu
Piotr Koniusz
48
11
0
06 Apr 2023
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Spectral Feature Augmentation for Graph Contrastive Learning and Beyond
Yifei Zhang
Hao Zhu
Zixing Song
Piotr Koniusz
Irwin King
39
87
0
02 Dec 2022
Not All Instances Contribute Equally: Instance-adaptive Class
  Representation Learning for Few-Shot Visual Recognition
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition
M. Han
Yibing Zhan
Yong Luo
Bo Du
Han Hu
Yonggang Wen
Dacheng Tao
19
6
0
07 Sep 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
50
343
0
13 May 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILM
LRM
49
2,234
0
08 Feb 2022
Meta-Learning for Multi-Label Few-Shot Classification
Meta-Learning for Multi-Label Few-Shot Classification
Christian Simon
Piotr Koniusz
Mehrtash Harandi
18
25
0
26 Oct 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning
Linlan Zhao
Dashan Guo
Yunlu Xu
Liang Qiao
Zhanzhan Cheng
Shiliang Pu
Yi Niu
Xi Fang
CLL
27
2
0
21 Oct 2021
PFENet++: Boosting Few-shot Semantic Segmentation with the
  Noise-filtered Context-aware Prior Mask
PFENet++: Boosting Few-shot Semantic Segmentation with the Noise-filtered Context-aware Prior Mask
Xiaoliu Luo
Zhuotao Tian
Taiping Zhang
Bei Yu
Yuan Yan Tang
Jiaya Jia
46
37
0
28 Sep 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation
Few-shot Learning with Global Relatedness Decoupled-Distillation
Yuanen Zhou
Yanrong Guo
Shijie Hao
Richang Hong
Zhen junzha
Meng Wang
19
1
0
12 Jul 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and
  Partial Modality Absent Few-Shot Learning
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning
Yi Zhang
Sheng Huang
Xiao-song Peng
Dan Yang
22
9
0
28 Jun 2021
Tensor feature hallucination for few-shot learning
Tensor feature hallucination for few-shot learning
Michalis Lazarou
Tania Stathaki
Yannis Avrithis
27
22
0
09 Jun 2021
Few-shot Partial Multi-view Learning
Few-shot Partial Multi-view Learning
Yuanen Zhou
Yanrong Guo
Shijie Hao
Richang Hong
Jiebo Luo
30
1
0
05 May 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot
  Learning
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning
Yizhao Gao
Nanyi Fei
Guangzhen Liu
Zhiwu Lu
Tao Xiang
Songfang Huang
58
35
0
23 Jan 2021
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
18
70
0
24 Nov 2020
Generalized Few-shot Semantic Segmentation
Generalized Few-shot Semantic Segmentation
Zhuotao Tian
Xin Lai
Li Jiang
Shu Liu
Michelle Shu
Hengshuang Zhao
Jiaya Jia
VLM
27
80
0
11 Oct 2020
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Long-tailed Recognition by Routing Diverse Distribution-Aware Experts
Xudong Wang
Long Lian
Zhongqi Miao
Ziwei Liu
Stella X. Yu
24
379
0
05 Oct 2020
Interventional Few-Shot Learning
Interventional Few-Shot Learning
Zhongqi Yue
Hanwang Zhang
Qianru Sun
Xiansheng Hua
26
225
0
28 Sep 2020
Knowledge-Guided Multi-Label Few-Shot Learning for General Image
  Recognition
Knowledge-Guided Multi-Label Few-Shot Learning for General Image Recognition
Tianshui Chen
Liang Lin
Riquan Chen
X. Hui
Hefeng Wu
10
153
0
20 Sep 2020
Progressively Guided Alternate Refinement Network for RGB-D Salient
  Object Detection
Progressively Guided Alternate Refinement Network for RGB-D Salient Object Detection
Shuhan Chen
Y. Fu
ObjD
MDE
13
119
0
17 Aug 2020
Learning from Few Samples: A Survey
Learning from Few Samples: A Survey
Nihar Bendre
Hugo Terashima-Marín
Peyman Najafirad
VLM
BDL
26
54
0
30 Jul 2020
Hallucinating Saliency Maps for Fine-Grained Image Classification for
  Limited Data Domains
Hallucinating Saliency Maps for Fine-Grained Image Classification for Limited Data Domains
Carola Figueroa Flores
Bogdan Raducanu
David Berga
Joost van de Weijer
22
6
0
24 Jul 2020
Learning from the Scene and Borrowing from the Rich: Tackling the Long
  Tail in Scene Graph Generation
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation
Tao He
Lianli Gao
Jingkuan Song
Jianfei Cai
Yuan-Fang Li
16
30
0
13 Jun 2020
Memory-Augmented Relation Network for Few-Shot Learning
Memory-Augmented Relation Network for Few-Shot Learning
J. He
Richang Hong
Xueliang Liu
Mingliang Xu
Zhengjun Zha
Meng Wang
19
47
0
09 May 2020
Transferring Cross-domain Knowledge for Video Sign Language Recognition
Transferring Cross-domain Knowledge for Video Sign Language Recognition
Dongxu Li
Xin Yu
Chenchen Xu
L. Petersson
Hongdong Li
SLR
28
104
0
08 Mar 2020
Rethinking Class Relations: Absolute-relative Supervised and
  Unsupervised Few-shot Learning
Rethinking Class Relations: Absolute-relative Supervised and Unsupervised Few-shot Learning
Hongguang Zhang
Piotr Koniusz
Songlei Jian
Hongdong Li
Philip H. S. Torr
SSL
28
59
0
12 Jan 2020
Few-shot Action Recognition with Permutation-invariant Attention
Few-shot Action Recognition with Permutation-invariant Attention
Hongguang Zhang
Li Zhang
Xiaojuan Qi
Hongdong Li
Philip H. S. Torr
Piotr Koniusz
19
3
0
12 Jan 2020
Diversity Transfer Network for Few-Shot Learning
Diversity Transfer Network for Few-Shot Learning
Mengting Chen
Yuxin Fang
Xinggang Wang
Heng Luo
Yifeng Geng
Xinyu Zhang
Chang Huang
Wenyu Liu
Bo Wang
15
69
0
31 Dec 2019
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
332
11,684
0
09 Mar 2017
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