Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning

28 March 2019

Papers citing "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning"

50 / 61 papers shown

Title
Geometric Mean Improves Loss For Few-Shot Learning Tong Wu Takumi Kobayashi 33 0 0 24 Jan 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 87 3 0 17 Jan 2025
Local Foreground Selection aware Attentive Feature Reconstruction for few-shot fine-grained plant species classification Aisha Zulfiqar Ebroul Izquiedro 42 0 0 12 Jan 2025
Generalization of Fitness Exercise Recognition from Doppler Measurements by Domain-adaption and Few-Shot Learning Biying Fu Naser Damer Florian Kirchbuchner Arjan Kuijper 30 6 0 20 Nov 2023
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 23 4 0 09 Nov 2023
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Hui Xiong VLM ViT 54 2 0 05 Oct 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
FewSAR: A Few-shot SAR Image Classification Benchmark Rui Zhang Ziqi Wang Yong Li Jiabao Wang Zhiteng Wang 20 1 0 16 Jun 2023
Learning More Discriminative Local Descriptors for Few-shot Learning Qi Song Siyun Zhou Liwei Xu 25 2 0 15 May 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Erik Cambria Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 27 26 0 31 Mar 2023
Decomposed Prototype Learning for Few-Shot Scene Graph Generation Xingchen Li Long Chen Guikun Chen Yinfu Feng Yi Yang Jun Xiao 30 6 0 20 Mar 2023
An Adaptive Plug-and-Play Network for Few-Shot Learning Hao Li Li Li Yun-Ya Huang Ning Li Yongtao Zhang 29 3 0 18 Feb 2023
High-level semantic feature matters few-shot unsupervised domain adaptation Lei Yu Wanqi Yang Sheng Huang Lei Wang Ming Yang 27 3 0 05 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot Classification Shuang Wang Rui Ma Tieru Wu Yang Cao 31 5 0 02 Jan 2023
Bi-directional Feature Reconstruction Network for Fine-Grained Few-Shot Image Classification Jijie Wu Dongliang Chang Aneeshan Sain Xiaoxu Li Zhanyu Ma Jie Cao Jun Guo Yi-Zhe Song 21 35 0 30 Nov 2022
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning Yanjun Qi Han Sun Ningzhong Liu Huiyu Zhou 29 8 0 22 Oct 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 34 3 0 05 Oct 2022
Boosting Few-shot Fine-grained Recognition with Background Suppression and Foreground Alignment Zican Zha Hao Tang Yunlian Sun Jinhui Tang 57 75 0 04 Oct 2022
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition Anqi Zhu Qiuhong Ke Mingming Gong James Bailey 49 21 0 21 Sep 2022
Not All Instances Contribute Equally: Instance-adaptive Class Representation Learning for Few-Shot Visual Recognition M. Han Yibing Zhan Yong Luo Bo Du Han Hu Yonggang Wen Dacheng Tao 19 6 0 07 Sep 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 40 42 0 26 Aug 2022
Few-shot Fine-grained Image Classification via Multi-Frequency Neighborhood and Double-cross Modulation Hegui Zhu Zhan Gao Jiayi Wang Yangqiaoyu Zhou Chengqing Li 20 6 0 18 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 40 46 0 04 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo-Wen Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 29 31 0 02 Jul 2022
Teach me how to Interpolate a Myriad of Embeddings Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 48 2 0 29 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 54 345 0 13 May 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning Shakti Kumar Hussain Zaidi 31 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 23 161 0 09 Apr 2022
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 28 60 0 13 Dec 2021
Shaping Visual Representations with Attributes for Few-Shot Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 34 7 0 13 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
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
LibFewShot: A Comprehensive Library for Few-shot Learning Wenbin Li Ziyi Ziyi Wang Xuesong Yang C. Dong ... Jing Huo Yinghuan Shi Lei Wang Yang Gao Jiebo Luo VLM 113 66 0 10 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 36 185 0 22 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding Sheng Huang Wanqi Yang Lei Wang Luping Zhou Ming Yang 30 8 0 06 Aug 2021
ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-shot Learning Chaofan CHEN Xiaoshan Yang Changsheng Xu Xuhui Huang Zhe Ma 33 50 0 16 Jun 2021
Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification Yang Liu Weifeng Zhang Chao Xiang Tu Zheng Deng Cai Xiaofei He FedML 17 47 0 10 Jun 2021
Subspace Representation Learning for Few-shot Image Classification Ting-Yao Hu Zhi-Qi Cheng Alexander G. Hauptmann 31 5 0 02 May 2021
Rich Semantics Improve Few-shot Learning Mohamed Afham Salman Khan Muhammad Haris Khan Muzammal Naseer Fahad Shahbaz Khan VLM 34 24 0 26 Apr 2021
Revisiting Few-shot Relation Classification: Evaluation Data and Classification Schemes O. Sabo Yanai Elazar Yoav Goldberg Ido Dagan 30 38 0 17 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 34 288 0 04 Apr 2021
When Few-Shot Learning Meets Video Object Detection Zhongjie Yu Gaoang Wang Lin Chen S. Raschka Jiebo Luo ObjD 39 1 0 26 Mar 2021
Multi-level Metric Learning for Few-shot Image Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 26 21 0 21 Mar 2021
DMN4: Few-shot Learning via Discriminative Mutual Nearest Neighbor Neural Network Yang Liu Tu Zheng Mingli Song Deng Cai Xiaofei He 38 25 0 15 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 31 29 0 30 Nov 2020
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification Xiaoxu Li Jijie Wu Z. Sun Zhanyu Ma Jie Cao Jing-Hao Xue 19 126 0 29 Nov 2020
Mixture-based Feature Space Learning for Few-shot Image Classification Arman Afrasiyabi Jean-François Lalonde Christian Gagné VLM 18 70 0 24 Nov 2020
Cooperative Bi-path Metric for Few-shot Learning Zeyuan Wang Yifan Zhao Jia Li Yonghong Tian 15 35 0 10 Aug 2020