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Prototype Rectification for Few-Shot Learning
v1v2v3v4 (latest)

Prototype Rectification for Few-Shot Learning

European Conference on Computer Vision (ECCV), 2019
25 November 2019
Jinlu Liu
Liang Song
Yongqiang Qin
ArXiv (abs)PDFHTML

Papers citing "Prototype Rectification for Few-Shot Learning"

50 / 97 papers shown
Language-Aware Information Maximization for Transductive Few-Shot CLIP
Language-Aware Information Maximization for Transductive Few-Shot CLIP
Ghassen Baklouti
Maxime Zanella
Ismail Ben Ayed
VLM
240
0
0
30 Aug 2025
Reliable Few-shot Learning under Dual Noises
Reliable Few-shot Learning under Dual NoisesIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Ji Zhang
Jingkuan Song
Lianli Gao
Andrii Zadaianchuk
Heng Tao Shen
NoLa
404
17
0
19 Jun 2025
Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition
Performance Analysis of Few-Shot Learning Approaches for Bangla Handwritten Character and Digit Recognition
Mehedi Ahamed
Radib Bin Kabir
Tawsif Tashwar Dipto
M. Mushabbir
Sabbir Ahmed
M. H. Kabir
195
6
0
31 May 2025
Prototype Embedding Optimization for Human-Object Interaction Detection in Livestreaming
Prototype Embedding Optimization for Human-Object Interaction Detection in Livestreaming
Menghui Zhang
Jing Zhang
Lin Yen-Chen
Li Zhuo
279
0
0
28 May 2025
ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box Annotations
ProMi: An Efficient Prototype-Mixture Baseline for Few-Shot Segmentation with Bounding-Box AnnotationsIEEE International Conference on Robotics and Automation (ICRA), 2025
Florent Chiaroni
Ali Ayub
Ola Ahmad
227
0
0
18 May 2025
ProtoDepth: Unsupervised Continual Depth Completion with Prototypes
ProtoDepth: Unsupervised Continual Depth Completion with PrototypesComputer Vision and Pattern Recognition (CVPR), 2025
Patrick Rim
Hyoungseob Park
Xien Chen
Ziyao Zeng
Younjoon Chung
Alex Wong
CLLMDE
402
9
0
17 Mar 2025
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
M. A. Ma'sum
Mahardhika Pratama
Igor Skrjanc
CLL
537
6
0
12 Feb 2025
Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene Classification
Enhancing Remote Sensing Vision-Language Models for Zero-Shot Scene ClassificationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2024
K. E. Khoury
Maxime Zanella
Benoît Gérin
Tiffanie Godelaine
Benoît Macq
Saïd Mahmoudi
Christophe De Vleeschouwer
Ismail Ben Ayed
VLM
384
8
0
08 Jan 2025
UNEM: UNrolled Generalized EM for Transductive Few-Shot Learning
UNEM: UNrolled Generalized EM for Transductive Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2024
Long Zhou
Fereshteh Shakeri
Aymen Sadraoui
Mounir Kaaniche
J. Pesquet
Ismail Ben Ayed
VLM
707
2
0
21 Dec 2024
A Feature Generator for Few-Shot Learning
A Feature Generator for Few-Shot LearningAsian Conference on Computer Vision (ACCV), 2024
Heethanjan Kanagalingam
Thenukan Pathmanathan
Navaneethan Ketheeswaran
Mokeeshan Vathanakumar
Mohamed Afham
Ranga Rodrigo
326
0
0
21 Sep 2024
Continual Gesture Learning without Data via Synthetic Feature Sampling
Continual Gesture Learning without Data via Synthetic Feature Sampling
Zhenyu Lu
Hao Tang
SLR
330
0
0
21 Aug 2024
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier
  Logits
EOL: Transductive Few-Shot Open-Set Recognition by Enhancing Outlier Logits
Mateusz Ochal
Massimiliano Patacchiola
Malik Boudiaf
Sen Wang
296
1
0
04 Aug 2024
Boosting Vision-Language Models with Transduction
Boosting Vision-Language Models with Transduction
Maxime Zanella
Benoît Gérin
Ismail Ben Ayed
VLM
347
29
0
03 Jun 2024
Few-Shot Class Incremental Learning via Robust Transformer Approach
Few-Shot Class Incremental Learning via Robust Transformer Approach
Naeem Paeedeh
Mahardhika Pratama
S. Wibirama
Wolfgang Mayer
Zehong Cao
Ryszard Kowalczyk
CLL
265
5
0
08 May 2024
Transductive Zero-Shot and Few-Shot CLIP
Transductive Zero-Shot and Few-Shot CLIP
Ségolène Martin
Yunshi Huang
Fereshteh Shakeri
J. Pesquet
Ismail Ben Ayed
BDLVLM
325
39
0
08 Apr 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for
  Neural Networks
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024
Tangjun Wang
Chenglong Bao
Zuoqiang Shi
DiffM
284
3
0
23 Mar 2024
Hunting Attributes: Context Prototype-Aware Learning for Weakly
  Supervised Semantic Segmentation
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2024
Feilong Tang
Zhongxing Xu
Zhaojun Qu
Wei Feng
Xingjian Jiang
Zongyuan Ge
370
37
0
12 Mar 2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for
  Interference Classification in GNSS Data
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data
Felix Ott
Lucas Heublein
Nisha Lakshmana Raichur
Tobias Feigl
Jonathan Hansen
A. Rügamer
Christopher Mutschler
397
11
0
09 Feb 2024
Episodic-free Task Selection for Few-shot Learning
Episodic-free Task Selection for Few-shot Learning
Tao Zhang
214
1
0
31 Jan 2024
Few-Shot Class-Incremental Learning via Training-Free Prototype
  Calibration
Few-Shot Class-Incremental Learning via Training-Free Prototype CalibrationNeural Information Processing Systems (NeurIPS), 2023
Qiwen Wang
Da-Wei Zhou
Yi-Kai Zhang
De-Chuan Zhan
Han-Jia Ye
CLL
297
114
0
08 Dec 2023
Robust Transductive Few-shot Learning via Joint Message Passing and
  Prototype-based Soft-label Propagation
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation
Jiahui Wang
Qin Xu
Bo Jiang
Bin Luo
294
0
0
28 Nov 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional
  Transport
Prototypes-oriented Transductive Few-shot Learning with Conditional TransportIEEE International Conference on Computer Vision (ICCV), 2023
Long Tian
Jing Feng
Wenchao Chen
Xiaoqiang Chai
Liming Wang
Xiyang Liu
Bo Chen
260
30
0
06 Aug 2023
Few-shot Image Classification based on Gradual Machine Learning
Few-shot Image Classification based on Gradual Machine Learning
Nanway Chen
Xianming Kuang
Feiyu Liu
K. Wang
Qun Chen
CLLVLM
284
5
0
28 Jul 2023
Space Engage: Collaborative Space Supervision for Contrastive-based
  Semi-Supervised Semantic Segmentation
Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2023
Changqi Wang
Haoyu Xie
Yuhui Yuan
Chong Fu
Xiangyu Yue
VLM
305
16
0
19 Jul 2023
Holistic Prototype Attention Network for Few-Shot VOS
Holistic Prototype Attention Network for Few-Shot VOS
Yin Tang
Tao Chen
XiRuo Jiang
Yazhou Yao
G. Xie
Hengtao Shen
VOS
216
2
0
16 Jul 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot
  Learning
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning
Tao Zhang
Wu Huang
348
3
0
30 May 2023
Adaptive manifold for imbalanced transductive few-shot learning
Adaptive manifold for imbalanced transductive few-shot learningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023
Michalis Lazarou
Yannis Avrithis
Tania Stathaki
312
10
0
27 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by
  Iterative Graph Refinement
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph RefinementComputer Vision and Pattern Recognition (CVPR), 2023
Hao Zhu
Piotr Koniusz
334
67
0
23 Apr 2023
A Survey on Few-Shot Class-Incremental Learning
A Survey on Few-Shot Class-Incremental LearningNeural Networks (Neural Netw.), 2023
Song Tian
Lusi Li
Weijun Li
Hang Ran
Xin Ning
Prayag Tiwari
CLL
527
184
0
17 Apr 2023
Task Adaptive Feature Transformation for One-Shot Learning
Task Adaptive Feature Transformation for One-Shot Learning
Imtiaz Masud Ziko
Freddy Lecue
Ismail Ben Ayed
VLM
214
2
0
13 Apr 2023
Decomposed Prototype Learning for Few-Shot Scene Graph Generation
Decomposed Prototype Learning for Few-Shot Scene Graph Generation
Xingchen Li
Long Chen
Guikun Chen
Yinfu Feng
Yi Yang
Jun Xiao
214
7
0
20 Mar 2023
Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation
Augmenting and Aligning Snippets for Few-Shot Video Domain AdaptationIEEE International Conference on Computer Vision (ICCV), 2023
Yuecong Xu
Jianfei Yang
Yunjiao Zhou
Zhenghua Chen
Ruibing Jin
Xiaoli Li
225
10
0
18 Mar 2023
Open-Set Likelihood Maximization for Few-Shot Learning
Open-Set Likelihood Maximization for Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2023
Malik Boudiaf
Etienne Bennequin
Myriam Tami
Antoine Toubhans
Pablo Piantanida
C´eline Hudelot
Ismail Ben Ayed
BDL
285
20
0
20 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor
  Few-Shot Classification
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot ClassificationImage and Vision Computing (IVC), 2023
Shuang Wang
Rui Ma
Tieru Wu
Yang Cao
290
6
0
02 Jan 2023
Prototype-guided Cross-task Knowledge Distillation for Large-scale
  Models
Prototype-guided Cross-task Knowledge Distillation for Large-scale Models
Deng Li
Aming Wu
Yahong Han
Qingwen Tian
VLM
284
5
0
26 Dec 2022
Disentangled Generation with Information Bottleneck for Few-Shot
  Learning
Disentangled Generation with Information Bottleneck for Few-Shot Learning
Zhuohang Dang
Jihong Wang
Minnan Luo
Chengyou Jia
Caixia Yan
Qinghua Zheng
221
1
0
29 Nov 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks
Samuel Hess
G. Ditzler
468
2
0
26 Nov 2022
Alleviating the Sample Selection Bias in Few-shot Learning by Removing
  Projection to the Centroid
Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the CentroidNeural Information Processing Systems (NeurIPS), 2022
Jing Xu
Xu Luo
Xinglin Pan
Wenjie Pei
Yanan Li
Zenglin Xu
265
31
0
30 Oct 2022
Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation
Self-Regularized Prototypical Network for Few-Shot Semantic SegmentationPattern Recognition (Pattern Recogn.), 2022
Henghui Ding
Hui Zhang
Xudong Jiang
290
75
0
30 Oct 2022
Towards Practical Few-Shot Query Sets: Transductive Minimum Description
  Length Inference
Towards Practical Few-Shot Query Sets: Transductive Minimum Description Length InferenceNeural Information Processing Systems (NeurIPS), 2022
Ségolène Martin
Malik Boudiaf
Émilie Chouzenoux
J. Pesquet
Ismail Ben Ayed
289
11
0
26 Oct 2022
Semantic Cross Attention for Few-shot Learning
Semantic Cross Attention for Few-shot LearningAsian Conference on Machine Learning (ACML), 2022
Bin Xiao
Chien Liu
W. Hsaio
302
2
0
12 Oct 2022
Prototypical VoteNet for Few-Shot 3D Point Cloud Object Detection
Prototypical VoteNet for Few-Shot 3D Point Cloud Object DetectionNeural Information Processing Systems (NeurIPS), 2022
Shizhen Zhao
Xiaojuan Qi
3DPC
438
30
0
11 Oct 2022
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning
  Settings
Active Few-Shot Classification: a New Paradigm for Data-Scarce Learning Settings
Aymane Abdali
Vincent Gripon
Lucas Drumetz
Bartosz Bogusławski
252
2
0
23 Sep 2022
Adaptive Dimension Reduction and Variational Inference for Transductive
  Few-Shot Classification
Adaptive Dimension Reduction and Variational Inference for Transductive Few-Shot ClassificationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Yuqing Hu
S. Pateux
Vincent Gripon
321
23
0
18 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning
Ying-Cong Chen
J. Hsieh
Ming-Ching Chang
426
0
0
03 Sep 2022
Transductive Decoupled Variational Inference for Few-Shot Classification
Transductive Decoupled Variational Inference for Few-Shot Classification
Ashutosh Kumar Singh
Hadi Jamali Rad
BDLVLM
371
18
0
22 Aug 2022
Simplex Clustering via sBeta with Applications to Online Adjustment of
  Black-Box Predictions
Simplex Clustering via sBeta with Applications to Online Adjustment of Black-Box PredictionsIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
Florent Chiaroni
Malik Boudiaf
A. Mitiche
Ismail Ben Ayed
399
1
0
30 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning
Kernel Relative-prototype Spectral Filtering for Few-shot LearningEuropean Conference on Computer Vision (ECCV), 2022
Tao Zhang
Wu Huang
347
18
0
24 Jul 2022
Personalized Keyword Spotting through Multi-task Learning
Personalized Keyword Spotting through Multi-task LearningInterspeech (Interspeech), 2022
Seunghan Yang
Byeonggeun Kim
Inseop Chung
Simyung Chang
243
12
0
28 Jun 2022
Model-Agnostic Few-Shot Open-Set Recognition
Model-Agnostic Few-Shot Open-Set Recognition
Malik Boudiaf
Etienne Bennequin
Myriam Tami
C´eline Hudelot
Antoine Toubhans
Pablo Piantanida
Ismail Ben Ayed
BDL
241
1
0
18 Jun 2022
12
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