Finding Task-Relevant Features for Few-Shot Learning by Category Traversal

27 May 2019

Papers citing "Finding Task-Relevant Features for Few-Shot Learning by Category Traversal"

50 / 55 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 47 0 0 09 May 2025
Partitioned Memory Storage Inspired Few-Shot Class-Incremental learning Renye Zhang Yimin Yin Jinghua Zhang CLL 59 0 0 29 Apr 2025
MetaFBP: Learning to Learn High-Order Predictor for Personalized Facial Beauty Prediction Luojun Lin Zhifeng Shen Jia-Li Yin Qipeng Liu Yuanlong Yu Weijie Chen CVBM 29 4 0 23 Nov 2023
FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models? Zihao Jiang Yunkai Dang Dong Pang Huishuai Zhang Weiran Huang VLM 33 2 0 09 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 47 0 0 04 Jul 2023
SENet: A Spectral Filtering Approach to Represent Exemplars for Few-shot Learning Tao Zhang Wu Huang 21 2 0 30 May 2023
ESPT: A Self-Supervised Episodic Spatial Pretext Task for Improving Few-Shot Learning Yi Rong Xiongbo Lu Zhaoyang Sun Yaxiong Chen Shengwu Xiong 26 10 0 26 Apr 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation Yue Han Jiangning Zhang Zhucun Xue Chao Xu Xintian Shen Yabiao Wang Chengjie Wang Yong Liu Xiangtai Li 42 17 0 03 Jan 2023
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 37 9 0 09 Dec 2022
A Maximum Log-Likelihood Method for Imbalanced Few-Shot Learning Tasks Samuel Hess G. Ditzler 49 2 0 26 Nov 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 39 17 0 22 Aug 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique Soumyajit Karmakar Abeer Banerjee P. Gidde Sumeet Saurav S. Singh UQCV 30 2 0 05 Aug 2022
Compound Prototype Matching for Few-shot Action Recognition Yifei Huang Lijin Yang Yoichi Sato 27 43 0 12 Jul 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning Shakti Kumar Hussain Zaidi 20 8 0 11 Apr 2022
Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification Jiangtao Xie Fei Long Jiaming Lv Qilong Wang P. Li 23 160 0 09 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 31 20 0 07 Apr 2022
CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification Philip Chikontwe Soopil Kim Sang Hyun Park 32 32 0 25 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 31 22 0 15 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 30 157 0 07 Mar 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 38 21 0 15 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 40 30 0 01 Dec 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 32 13 0 06 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
Nearest Neighbour Few-Shot Learning for Cross-lingual Classification M Saiful Bari Batool Haider Saab Mansour VLM 16 13 0 06 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 34 185 0 22 Aug 2021
Few-Shot and Continual Learning with Attentive Independent Mechanisms Eugene Lee Cheng-Han Huang Chen-Yi Lee CLL 23 25 0 29 Jul 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning Xu Luo Longhui Wei Liangjiang Wen Jinrong Yang Lingxi Xie Zenglin Xu Qi Tian 45 87 0 16 Jul 2021
Finding Significant Features for Few-Shot Learning using Dimensionality Reduction M. Mendez-Ruiz Jorge Gonzalez-Zapata G. Ochoa-Ruiz Andres Mendez-Vazquez 33 1 0 06 Jul 2021
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification Dong Lee Sae-Young Chung 29 20 0 22 Jun 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 28 50 0 16 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 29 22 0 09 Jun 2021
Few-Shot Action Recognition with Compromised Metric via Optimal Transport Su Lu Han-Jia Ye De-Chuan Zhan 26 18 0 08 Apr 2021
Multi-level Metric Learning for Few-shot Image Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 24 21 0 21 Mar 2021
Multi-Pretext Attention Network for Few-shot Learning with Self-supervision Hainan Li Renshuai Tao Jun Li Haotong Qin Yifu Ding Shuo Wang Xianglong Liu SSL 27 8 0 10 Mar 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 61 35 0 23 Jan 2021
Multi-scale Adaptive Task Attention Network for Few-Shot Learning Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 29 29 0 30 Nov 2020
Towards Zero-Shot Learning with Fewer Seen Class Examples Vinay Kumar Verma Ashish Mishra Anubha Pandey H. Murthy Piyush Rai VLM 42 15 0 14 Nov 2020
Cross-Domain Few-Shot Learning by Representation Fusion Thomas Adler Johannes Brandstetter Michael Widrich Andreas Mayr David P. Kreil Michael K Kopp G. Klambauer Sepp Hochreiter OOD 25 45 0 13 Oct 2020
Improving Few-Shot Learning through Multi-task Representation Learning Theory Quentin Bouniot I. Redko Romaric Audigier Angélique Loesch Amaury Habrard 45 10 0 05 Oct 2020
FOCAL: Efficient Fully-Offline Meta-Reinforcement Learning via Distance Metric Learning and Behavior Regularization Lanqing Li Rui Yang Dijun Luo OffRL 27 10 0 02 Oct 2020
Interventional Few-Shot Learning Zhongqi Yue Hanwang Zhang Qianru Sun Xiansheng Hua 26 225 0 28 Sep 2020
Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild Yang Xiao Vincent Lepetit Renaud Marlet 3DPC 46 314 0 23 Jul 2020
Impact of base dataset design on few-shot image classification Othman Sbai Camille Couprie Mathieu Aubry VLM 17 22 0 17 Jul 2020
A Universal Representation Transformer Layer for Few-Shot Image Classification Lu Liu William L. Hamilton Guodong Long Jing Jiang Hugo Larochelle ViT 29 125 0 21 Jun 2020
Few-Shot Open-Set Recognition using Meta-Learning Bo Liu Hao Kang Haoxiang Li G. Hua Nuno Vasconcelos BDL EDL 28 89 0 27 May 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 12 39 0 01 Apr 2020
Moving Indoor: Unsupervised Video Depth Learning in Challenging Environments Junsheng Zhou Yuwang Wang K. Qin Wenjun Zeng MDE 32 63 0 20 Oct 2019
Meta-Transfer Learning through Hard Tasks Qianru Sun Yaoyao Liu Zhaozheng Chen Tat-Seng Chua Bernt Schiele 14 98 0 07 Oct 2019