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TapNet: Neural Network Augmented with Task-Adaptive Projection for
  Few-Shot Learning
v1v2 (latest)

TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning

International Conference on Machine Learning (ICML), 2019
16 May 2019
Sung Whan Yoon
Jun Seo
Jaekyun Moon
ArXiv (abs)PDFHTML

Papers citing "TapNet: Neural Network Augmented with Task-Adaptive Projection for Few-Shot Learning"

50 / 124 papers shown
Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination
Toward Better Generalization in Few-Shot Learning through the Meta-Component Combination
Qiuhao Zeng
120
0
0
07 Nov 2025
Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ATTBHFA-Net
Enhancing Few-Shot Classification of Benchmark and Disaster Imagery with ATTBHFA-Net
G. Lee
Tanmoy Dam
Md Meftahul Ferdaus
Daniel Puiu Poenar
Vu N. Duong
183
0
0
21 Oct 2025
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
Doodle Your Keypoints: Sketch-Based Few-Shot Keypoint Detection
Subhajit Maity
A. Bhunia
Subhadeep Koley
Pinaki Nath Chowdhury
Aneeshan Sain
Yi-Zhe Song
498
0
0
10 Jul 2025
D$^2$ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
D2^22ST-Adapter: Disentangled-and-Deformable Spatio-Temporal Adapter for Few-shot Action Recognition
Wenjie Pei
Qizhong Tan
Guangming Lu
Jiandong Tian
Jun Yu
626
3
0
01 Jul 2025
PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose Estimation
PoseBH: Prototypical Multi-Dataset Training Beyond Human Pose EstimationComputer Vision and Pattern Recognition (CVPR), 2025
U. Jeong
J. Freer
Seungryul Baek
H. Chang
K. Kim
3DH
324
3
0
23 May 2025
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning
Renye Zhang
Yimin Yin
Jinghua Zhang
CLL
314
0
0
29 Apr 2025
Dynamic Graph-Like Learning with Contrastive Clustering on Temporally-Factored Ship Motion Data for Imbalanced Sea State Estimation in Autonomous Vessel
Dynamic Graph-Like Learning with Contrastive Clustering on Temporally-Factored Ship Motion Data for Imbalanced Sea State Estimation in Autonomous Vessel
Kexin Wang
Mengna Liu
Xu Cheng
Fan Shi
Shanshan Qi
Shengyong Chen
273
0
0
21 Apr 2025
Hierarchical Relation-augmented Representation Generalization for Few-shot Action Recognition
Hierarchical Relation-augmented Representation Generalization for Few-shot Action Recognition
Hongyu Qu
Ling Xing
Rui Yan
Yazhou Yao
G. Xie
Xiangbo Shu
366
1
0
14 Apr 2025
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint
  Constrained k-Means and Subspace Selection
Few-Shot Domain Adaptation for Named-Entity Recognition via Joint Constrained k-Means and Subspace SelectionInternational Conference on Computational Linguistics (COLING), 2024
Ayoub Hammal
Benno Uthayasooriyar
Caio Corro
425
1
0
30 Nov 2024
Context-Aware Multimodal Pretraining
Context-Aware Multimodal PretrainingComputer Vision and Pattern Recognition (CVPR), 2024
Karsten Roth
Zeynep Akata
Dima Damen
Ivana Balazevic
Olivier J. Hénaff
VLM
414
4
0
22 Nov 2024
Learning to Obstruct Few-Shot Image Classification over Restricted
  Classes
Learning to Obstruct Few-Shot Image Classification over Restricted ClassesEuropean Conference on Computer Vision (ECCV), 2024
Amber Yijia Zheng
Chiao-An Yang
Raymond A. Yeh
370
5
0
28 Sep 2024
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action Recognition
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot Action RecognitionIEEE transactions on multimedia (IEEE TMM), 2024
Hongyu Qu
Rui Yan
Xiangbo Shu
Haoliang Gao
Peng Huang
Guo-Sen Xie
558
23
0
03 May 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of
  Foundation Models
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models
Yanting Wang
Wei Zou
Jinyuan Jia
295
4
0
12 Apr 2024
XB-MAML: Learning Expandable Basis Parameters for Effective
  Meta-Learning with Wide Task Coverage
XB-MAML: Learning Expandable Basis Parameters for Effective Meta-Learning with Wide Task CoverageInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Jae-Jun Lee
Sung Whan Yoon
255
5
0
11 Mar 2024
Few and Fewer: Learning Better from Few Examples Using Fewer Base
  Classes
Few and Fewer: Learning Better from Few Examples Using Fewer Base Classes
Raphael Lafargue
Yassir Bendou
Bastien Pasdeloup
J. Diguet
Ian Reid
Vincent Gripon
Jack Valmadre
325
0
0
29 Jan 2024
Exploring intra-task relations to improve meta-learning algorithms
Exploring intra-task relations to improve meta-learning algorithms
P. Agarwal
Shreya Singh
OOD
273
0
0
27 Dec 2023
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype
  Enhancement
Adaptive FSS: A Novel Few-Shot Segmentation Framework via Prototype Enhancement
Jing Wang
Jinagyun Li
Chen Chen
Yisi Zhang
Haoran Shen
Tianxiang Zhang
VLM
439
24
0
25 Dec 2023
Robust Few-Shot Named Entity Recognition with Boundary Discrimination
  and Correlation Purification
Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation PurificationAAAI Conference on Artificial Intelligence (AAAI), 2023
Xiaojun Xue
Chunxia Zhang
Tianxiang Xu
Zhendong Niu
281
6
0
13 Dec 2023
Consistency Prototype Module and Motion Compensation for Few-Shot Action
  Recognition (CLIP-CP$\mathbf{M^2}$C)
Consistency Prototype Module and Motion Compensation for Few-Shot Action Recognition (CLIP-CPM2\mathbf{M^2}M2C)
Fei-Yu Guo
Li Zhu
YiKang Wang
Han Qi
308
8
0
02 Dec 2023
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial
  Beauty Prediction
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty PredictionACM Multimedia (ACM MM), 2023
Luojun Lin
Zhifeng Shen
Jia-Li Yin
Qipeng Liu
Yuanlong Yu
Weijie Chen
CVBM
268
7
0
23 Nov 2023
Episodic Multi-Task Learning with Heterogeneous Neural Processes
Episodic Multi-Task Learning with Heterogeneous Neural ProcessesNeural Information Processing Systems (NeurIPS), 2023
Jiayi Shen
Xiantong Zhen
Qi
Qi Wang
M. Worring
278
17
0
28 Oct 2023
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
415
11
0
16 Oct 2023
Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching
Boosting Few-shot Action Recognition with Graph-guided Hybrid MatchingIEEE International Conference on Computer Vision (ICCV), 2023
Jiazheng Xing
Mengmeng Wang
Yudi Ruan
Bofan Chen
Yaowei Guo
B. Mu
Guangwen Dai
Jingdong Wang
Yong-Jin Liu
299
39
0
18 Aug 2023
Multimodal Adaptation of CLIP for Few-Shot Action Recognition
Multimodal Adaptation of CLIP for Few-Shot Action RecognitionPattern Recognition (Pattern Recogn.), 2023
Jiazheng Xing
Mengmeng Wang
Xiaojun Hou
Guangwen Dai
Jingdong Wang
Yong-Jin Liu
VLM
232
14
0
03 Aug 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable
  Kendall's Rank Correlation
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationNeural Information Processing Systems (NeurIPS), 2023
Kai Zheng
Huishuai Zhang
Weiran Huang
368
15
0
28 Jul 2023
Unifying Token and Span Level Supervisions for Few-Shot Sequence
  Labeling
Unifying Token and Span Level Supervisions for Few-Shot Sequence Labeling
Zifeng Cheng
Qingyu Zhou
Zhiwei Jiang
Xuemin Zhao
Yunbo Cao
Qing Gu
242
5
0
16 Jul 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained
  Language Models?
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?
Zihao Jiang
Yunkai Dang
Dong Pang
Huishuai Zhang
Weiran Huang
VLM
287
3
0
09 Jul 2023
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided
  Diffusion
ProtoDiff: Learning to Learn Prototypical Networks by Task-Guided DiffusionNeural Information Processing Systems (NeurIPS), 2023
Yingjun Du
Zehao Xiao
Tianran Ouyang
Cees G. M. Snoek
DiffM
414
29
0
26 Jun 2023
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning
Minyoung Kim
Timothy M. Hospedales
BDL
223
0
0
16 Jun 2023
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
EMO: Episodic Memory Optimization for Few-Shot Meta-Learning
Yingjun Du
Jiayi Shen
Xiantong Zhen
Cees G. M. Snoek
398
3
0
08 Jun 2023
Few-shot Event Detection: An Empirical Study and a Unified View
Few-shot Event Detection: An Empirical Study and a Unified ViewAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yubo Ma
Zehao Wang
Yixin Cao
Aixin Sun
269
14
0
03 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
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot
  Action Recognition
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action RecognitionComputer Vision and Pattern Recognition (CVPR), 2023
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Changxin Gao
Yingya Zhang
Deli Zhao
Nong Sang
223
68
0
03 Apr 2023
Multi-Content Interaction Network for Few-Shot Segmentation
Multi-Content Interaction Network for Few-Shot Segmentation
Hao Chen
YunLong Yu
Yonghan Dong
Zhe-Ming Lu
Yingming Li
Zhongfei Zhang
277
6
0
11 Mar 2023
CLIP-guided Prototype Modulating for Few-shot Action Recognition
CLIP-guided Prototype Modulating for Few-shot Action RecognitionInternational Journal of Computer Vision (IJCV), 2023
Xiang Wang
Shiwei Zhang
Jun Cen
Changxin Gao
Yingya Zhang
Deli Zhao
Nong Sang
VLM
319
91
0
06 Mar 2023
A Closer Look at Few-shot Classification Again
A Closer Look at Few-shot Classification AgainInternational Conference on Machine Learning (ICML), 2023
Xu Luo
Hao Wu
Ji Zhang
Lianli Gao
Jing Xu
Jingkuan Song
317
79
0
28 Jan 2023
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot
  Action Recognition
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action RecognitionPattern Recognition (Pattern Recogn.), 2023
Xiang Wang
Shiwei Zhang
Zhiwu Qing
Zhe Zuo
Changxin Gao
Rong Jin
Nong Sang
273
40
0
09 Jan 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance SegmentationIEEE 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
384
24
0
03 Jan 2023
Few-shot human motion prediction for heterogeneous sensors
Few-shot human motion prediction for heterogeneous sensorsPacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), 2022
Rafael Rêgo Drumond
L. Brinkmeyer
Lars Schmidt-Thieme
3DH
232
5
0
22 Dec 2022
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition
Multimodal Prototype-Enhanced Network for Few-Shot Action RecognitionInternational Conference on Multimedia Retrieval (ICMR), 2022
Xin Ni
Yong Liu
Hao Wen
Yatai Ji
Jing Xiao
Yujiu Yang
339
21
0
09 Dec 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning
PatchMix Augmentation to Identify Causal Features in Few-shot LearningIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
C. Xu
Chen Liu
Xinwei Sun
Siqian Yang
Yabiao Wang
Chengjie Wang
Yanwei Fu
181
26
0
29 Nov 2022
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for
  Few-shot Image Classification
SgVA-CLIP: Semantic-guided Visual Adapting of Vision-Language Models for Few-shot Image ClassificationIEEE transactions on multimedia (IEEE TMM), 2022
Fang Peng
Xiaoshan Yang
Linhui Xiao
Yaowei Wang
Changsheng Xu
VLM
261
82
0
28 Nov 2022
Prompt-Based Metric Learning for Few-Shot NER
Prompt-Based Metric Learning for Few-Shot NERAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Yanru Chen
Yanan Zheng
Zhilin Yang
VLM
202
36
0
08 Nov 2022
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Unsupervised Few-shot Learning via Deep Laplacian Eigenmaps
Kuilin Chen
Chi-Guhn Lee
SSL
316
4
0
07 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning
BaseTransformers: Attention over base data-points for One Shot LearningBritish Machine Vision Conference (BMVC), 2022
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
271
6
0
05 Oct 2022
Few-shot Named Entity Recognition with Entity-level Prototypical Network
  Enhanced by Dispersedly Distributed Prototypes
Few-shot Named Entity Recognition with Entity-level Prototypical Network Enhanced by Dispersedly Distributed PrototypesInternational Conference on Computational Linguistics (COLING), 2022
Shezheng Song
Shasha Li
Shaoduo Gan
Jie Yu
Jun Ma
Bin Ji
197
39
0
17 Aug 2022
Few-Example Clustering via Contrastive Learning
Few-Example Clustering via Contrastive Learning
M-U Jang
Sae-Young Chung
250
0
0
08 Jul 2022
Leveraging Language for Accelerated Learning of Tool Manipulation
Leveraging Language for Accelerated Learning of Tool ManipulationConference on Robot Learning (CoRL), 2022
Allen Z. Ren
Bharat Govil
Tsung-Yen Yang
Karthik Narasimhan
Anirudha Majumdar
LM&Ro
214
44
0
27 Jun 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image
  Classification
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification
Zaiyun Yang
VLMDRL
201
1
0
30 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications,
  Challenges, and Opportunities
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and OpportunitiesACM Computing Surveys (ACM CSUR), 2022
Yisheng Song
Ting-Yuan Wang
S. Mondal
J. P. Sahoo
SLR
473
641
0
13 May 2022
123
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