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1801.05401
Cited By
Low-Shot Learning from Imaginary Data
16 January 2018
Yu-xiong Wang
Ross B. Girshick
M. Hebert
Bharath Hariharan
VLM
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Papers citing
"Low-Shot Learning from Imaginary Data"
50 / 145 papers shown
Title
Task-Adapter++: Task-specific Adaptation with Order-aware Alignment for Few-shot Action Recognition
Congqi Cao
Peiheng Han
Y. Zhang
Yating Yu
Qinyi Lv
Lingtong Min
Yanning Zhang
VLM
55
0
0
09 May 2025
DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers
Mert Bulent Sariyildiz
Philippe Weinzaepfel
Thomas Lucas
Pau de Jorge
Diane Larlus
Yannis Kalantidis
60
0
0
18 Mar 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
Yiyi Zhang
Ying Zheng
Xiaogang Xu
Jun Wang
SSL
59
4
0
28 Jan 2025
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
Erik Landolsi
Fredrik Kahl
DiffM
58
1
0
05 Jun 2024
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection
Hefei Mei
Taijin Zhao
Shiyuan Tang
Heqian Qiu
Lanxiao Wang
Minjian Zhang
Fanman Meng
Hongliang Li
ObjD
34
1
0
27 Dec 2023
Dual Compensation Residual Networks for Class Imbalanced Learning
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
30
5
0
25 Aug 2023
SATHUR: Self Augmenting Task Hallucinal Unified Representation for Generalized Class Incremental Learning
Sathursan Kanagarajah
Thanuja D. Ambegoda
Ranga Rodrigo
CLL
27
0
0
13 Aug 2023
Boosting Few-shot 3D Point Cloud Segmentation via Query-Guided Enhancement
Zhen-Hu Ning
Zhuotao Tian
Guangming Lu
Wenjie Pei
3DPC
30
14
0
06 Aug 2023
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing
Jing Wu
N. Hovakimyan
Jennifer Hobbs
34
14
0
27 Jul 2023
Hallucination Improves the Performance of Unsupervised Visual Representation Learning
Jing Wu
Jennifer Hobbs
N. Hovakimyan
SSL
34
20
0
22 Jul 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning
Yi Rong
Xiongbo Lu
Zhaoyang Sun
Yaxiong Chen
Shengwu Xiong
28
10
0
26 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Changxin Gao
Yingya Zhang
Deli Zhao
Nong Sang
24
40
0
03 Apr 2023
Balanced Training for Sparse GANs
Yite Wang
Jing Wu
N. Hovakimyan
Ruoyu Sun
48
9
0
28 Feb 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin
Samuel Yu
Zhiyi Kuang
Deepak Pathak
Deva Ramana
VLM
20
102
0
16 Jan 2023
Proposal Distribution Calibration for Few-Shot Object Detection
Bohao Li
Chang-rui Liu
Mengnan Shi
Xiaozhong Chen
Xiang Ji
QiXiang Ye
ObjD
31
5
0
15 Dec 2022
Cross-Domain Few-Shot Relation Extraction via Representation Learning and Domain Adaptation
Zhong Yuan
Zhenkun Wang
Genghui Li
OOD
31
1
0
05 Dec 2022
Better Generalized Few-Shot Learning Even Without Base Data
Seongwoong Kim
Dong-Wan Choi
31
7
0
29 Nov 2022
Breaking Immutable: Information-Coupled Prototype Elaboration for Few-Shot Object Detection
Xiaonan Lu
Wenhui Diao
Yongqiang Mao
Junxi Li
Peijin Wang
Xian Sun
Kun Fu
ObjD
39
33
0
27 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Samuel Hess
G. Ditzler
56
2
0
26 Nov 2022
Enhancing Few-shot Image Classification with Cosine Transformer
Quang-Huy Nguyen
Cuong Q. Nguyen
Dung D. Le
Hieu H. Pham
ViT
31
12
0
13 Nov 2022
Extending Temporal Data Augmentation for Video Action Recognition
Artjoms Gorpincenko
Michal Mackiewicz
ViT
29
4
0
09 Nov 2022
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles
Dominik Filipiak
A. Fensel
A. Filipowska
40
1
0
06 Nov 2022
Query Semantic Reconstruction for Background in Few-Shot Segmentation
Haoyan Guan
Michael W. Spratling
29
3
0
21 Oct 2022
CobNet: Cross Attention on Object and Background for Few-Shot Segmentation
Haoyan Guan
Michael W. Spratling
32
0
0
21 Oct 2022
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets
Anurag Roy
David Johnson Ekka
Saptarshi Ghosh
Abir Das
23
1
0
13 Oct 2022
Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors
Karim Guirguis
Mohamed Abdelsamad
George Eskandar
Ahmed Hendawy
Matthias Kayser
B. Yang
Jürgen Beyerer
ObjD
35
2
0
11 Oct 2022
Exploring Effective Knowledge Transfer for Few-shot Object Detection
Zhiyuan Zhao
Qingjie Liu
Yunhong Wang
40
9
0
05 Oct 2022
Classical Sequence Match is a Competitive Few-Shot One-Class Learner
Mengting Hu
H. Gao
Yinhao Bai
Mingming Liu
8
0
0
14 Sep 2022
Open Long-Tailed Recognition in a Dynamic World
Ziwei Liu
Zhongqi Miao
Xiaohang Zhan
Jiayun Wang
Boqing Gong
Stella X. Yu
VLM
46
18
0
17 Aug 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification
Bo Zhang
Jiakang Yuan
Baopu Li
Tao Chen
Jiayuan Fan
Botian Shi
ViT
34
31
0
02 Jul 2022
Transforming Image Generation from Scene Graphs
Renato Sortino
S. Palazzo
C. Spampinato
ViT
29
2
0
01 Jul 2022
Generating Representative Samples for Few-Shot Classification
Jingyi Xu
Hieu M. Le
VLM
27
61
0
05 May 2022
Embedding Hallucination for Few-Shot Language Fine-tuning
Yiren Jian
Chongyang Gao
Soroush Vosoughi
28
4
0
03 May 2022
A Simple Approach to Adversarial Robustness in Few-shot Image Classification
Akshayvarun Subramanya
Hamed Pirsiavash
VLM
29
6
0
11 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling
R. Tao
Han Zhang
Yutong Zheng
Marios Savvides
38
20
0
07 Apr 2022
Attribute Prototype Network for Any-Shot Learning
Wenjia Xu
Yongqin Xian
Jiuniu Wang
Bernt Schiele
Zeynep Akata
VLM
34
37
0
04 Apr 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning
Archit Parnami
Minwoo Lee
MQ
36
157
0
07 Mar 2022
Distribution Embedding Networks for Generalization from a Diverse Set of Classification Tasks
Lang Liu
M. M. Fard
Sen Zhao
OOD
31
3
0
04 Feb 2022
Semantics-driven Attentive Few-shot Learning over Clean and Noisy Samples
Orhun Bugra Baran
Ramazan Gokberk Cinbics
27
4
0
09 Jan 2022
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains
Yuan Cheng
Ci-Siang Lin
Fu-En Yang
Yu-Chiang Frank Wang
32
1
0
27 Dec 2021
Exploring Category-correlated Feature for Few-shot Image Classification
Jing Xu
Xinglin Pan
Xu Luo
Wenjie Pei
Zenglin Xu
27
4
0
14 Dec 2021
Few-Shot Object Detection via Association and DIscrimination
Yuhang Cao
Jiaqi Wang
Ying Jin
Tong Wu
Kai-xiang Chen
Ziwei Liu
Dahua Lin
ObjD
29
82
0
23 Nov 2021
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning
Miao Zhang
Miaojing Shi
Li Li
VLM
49
20
0
30 Oct 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms
Jiaxu Leng
Taiyue Chen
Gao Xinbo
Yongtao Yu
Ye Wang
Feng Gao
Wang Yue
ObjD
24
15
0
30 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning
S. Schwarcz
Sai Saketh Rambhatla
Ramalingam Chellappa
28
1
0
26 Oct 2021
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
34
2
0
21 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification
Saba Ghaffari
Ehsan Saleh
David A. Forsyth
Yu-xiong Wang
34
13
0
06 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
Jay Patravali
Gaurav Mittal
Ye Yu
Fuxin Li
Mei Chen
18
19
0
30 Sep 2021
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
Multimodality in Meta-Learning: A Comprehensive Survey
Yao Ma
Shilin Zhao
Weixiao Wang
Yaoman Li
Irwin King
54
53
0
28 Sep 2021
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