Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning

5 October 2019

Limeng Qiao

Yemin Shi

Jia Li

Yaowei Wang

Tiejun Huang

Yonghong Tian

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Papers citing "Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning"

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Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Qi Xu J. Zhu D. Zhou Hao Chen Yong-Jin Liu Jiangrong Shen Qiang Zhang 36 0 0 12 May 2025
Source-free Semantic Regularization Learning for Semi-supervised Domain Adaptation Xinyang Huang Chuang Zhu Ruiying Ren Shengjie Liu Tiejun Huang 40 0 0 03 Jan 2025
MICM: Rethinking Unsupervised Pretraining for Enhanced Few-shot Learning Zhenyu Zhang Guangyao Chen Yixiong Zou Zhimeng Huang Yuhua Li Ruixuan Li VLM 36 2 0 23 Aug 2024
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition Zhenyu Zhang Guangyao Chen Yixiong Zou Yuhua Li Ruixuan Li UQCV 44 0 0 23 Aug 2024
PGNeXt: High-Resolution Salient Object Detection via Pyramid Grafting Network Changqun Xia Chenxi Xie Zhentao He Tianshu Yu Jia Li 50 0 0 02 Aug 2024
On the Limits of Multi-modal Meta-Learning with Auxiliary Task Modulation Using Conditional Batch Normalization Jordi Armengol-Estapé Vincent Michalski Ramnath Kumar P. St-Charles Doina Precup Samira Ebrahimi Kahou 35 0 0 29 May 2024
Understanding Hyperbolic Metric Learning through Hard Negative Sampling Yun Yue Fangzhou Lin Guanyi Mou Ziming Zhang SSL 37 1 0 23 Apr 2024
Convection-Diffusion Equation: A Theoretically Certified Framework for Neural Networks Tangjun Wang Chenglong Bao Zuoqiang Shi DiffM 49 0 0 23 Mar 2024
Enhancing Information Maximization with Distance-Aware Contrastive Learning for Source-Free Cross-Domain Few-Shot Learning Huali Xu Li Liu Shuaifeng Zhi Shaojing Fu Z. Su Ming-Ming Cheng Yongxiang Liu 58 10 0 04 Mar 2024
LDCA: Local Descriptors with Contextual Augmentation for Few-Shot Learning Maofa Wang Bingchen Yan 41 0 0 24 Jan 2024
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 52 2 0 09 Jul 2023
Learning for Transductive Threshold Calibration in Open-World Recognition Qin Zhang Dongsheng An Tianjun Xiao Tong He Qingming Tang Ying Nian Wu Joseph Tighe Yifan Xing Stefano Soatto 47 0 0 19 May 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu Piotr Koniusz 40 40 0 23 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 33 6 0 13 Apr 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 46 13 0 15 Mar 2023
HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization Sungyeon Kim Boseung Jung Suha Kwak 25 15 0 29 Dec 2022
Generalization Bounds for Few-Shot Transfer Learning with Pretrained Classifiers Tomer Galanti András Gyorgy Marcus Hutter VLM SSL 26 3 0 23 Dec 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
Query-Guided Networks for Few-shot Fine-grained Classification and Person Search Bharti Munjal Alessandro Flaborea S. Amin F. Tombari Fabio Galasso 21 23 0 21 Sep 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 44 3 0 14 Jul 2022
Few-Example Clustering via Contrastive Learning M-U Jang Sae-Young Chung 27 0 0 08 Jul 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 43 39 0 08 Jun 2022
Task-Prior Conditional Variational Auto-Encoder for Few-Shot Image Classification Zaiyun Yang VLM DRL 25 1 0 30 May 2022
Self-Taught Metric Learning without Labels Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak SSL 27 20 0 04 May 2022
Meta-free few-shot learning via representation learning with weight averaging Kuilin Chen Chi-Guhn Lee 19 5 0 26 Apr 2022
Realistic Evaluation of Transductive Few-Shot Learning Olivier Veilleux Malik Boudiaf Pablo Piantanida Ismail Ben Ayed 29 35 0 24 Apr 2022
Integrative Few-Shot Learning for Classification and Segmentation Dahyun Kang Minsu Cho VLM 37 59 0 29 Mar 2022
Temporal Transductive Inference for Few-Shot Video Object Segmentation Mennatullah Siam Konstantinos G. Derpanis Richard P. Wildes VOS 27 9 0 27 Mar 2022
Hyperbolic Vision Transformers: Combining Improvements in Metric Learning Aleksandr Ermolov L. Mirvakhabova Valentin Khrulkov N. Sebe Ivan Oseledets 36 100 0 21 Mar 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 40 22 0 15 Mar 2022
Source-Free Progressive Graph Learning for Open-Set Domain Adaptation Yadan Luo Zijian Wang Zhuoxiao Chen Zi Huang Mahsa Baktashmotlagh AI4CE 49 30 0 13 Feb 2022
Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning Peyman Bateni Jarred Barber Raghav Goyal Vaden Masrani Jan-Willem van de Meent Leonid Sigal Frank Wood BDL VLM 50 9 0 13 Jan 2022
On the Role of Neural Collapse in Transfer Learning Tomer Galanti András Gyorgy Marcus Hutter SSL 21 88 0 30 Dec 2021
Associative Adversarial Learning Based on Selective Attack Runqi Wang Xiaoyue Duan Baochang Zhang Shenjun Xue Wentao Zhu David Doermann G. Guo AAML 34 0 0 28 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 21 45 0 03 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 51 30 0 01 Dec 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 33 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
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning Cat P. Le Juncheng Dong Mohammadreza Soltani Vahid Tarokh 28 11 0 05 Oct 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning Shuai Shao Lei Xing Yan Wang Rui Xu Chunyan Zhao Yanjiang Wang Baodi Liu 43 35 0 16 Sep 2021
Partner-Assisted Learning for Few-Shot Image Classification Jiawei Ma Hanchen Xie G. Han Shih-Fu Chang Aram Galstyan Wael AbdAlmageed VLM 34 66 0 15 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation Chaofei Wang S. Song Qisen Yang Xiang Li Gao Huang 32 23 0 13 Sep 2021
Binocular Mutual Learning for Improving Few-shot Classification Ziqi Zhou Xi Qiu Jiangtao Xie Jianan Wu Chi Zhang SSL 18 76 0 27 Aug 2021
Relational Embedding for Few-Shot Classification Dahyun Kang Heeseung Kwon Juhong Min Minsu Cho 39 185 0 22 Aug 2021
DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection Limeng Qiao Yuxuan Zhao Zhiyuan Li Xi Qiu Jianan Wu Chi Zhang ObjD 30 197 0 20 Aug 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 63 18 0 11 Aug 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 19 45 0 09 Aug 2021
A Transductive Maximum Margin Classifier for Few-Shot Learning Fei Pan Chunlei Xu Jie Guo Yanwen Guo 19 0 0 26 Jul 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 32 1 0 12 Jul 2021
Mutual-Information Based Few-Shot Classification Malik Boudiaf Imtiaz Masud Ziko Jérôme Rony Jose Dolz Ismail Ben Ayed Pablo Piantanida VLM 30 2 0 23 Jun 2021