Dense Classification and Implanting for Few-Shot Learning

12 March 2019

Papers citing "Dense Classification and Implanting for Few-Shot Learning"

50 / 50 papers shown

Title
PREMISE: Matching-based Prediction for Accurate Review Recommendation Wei Han Hui Chen Soujanya Poria 54 0 0 02 May 2025
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms Fatemeh Askari Amirreza Fateh Mohammad Reza Mohammadi 92 3 0 17 Jan 2025
Knowledge-enhanced Relation Graph and Task Sampling for Few-shot Molecular Property Prediction Zeyu Wang Tianyi Jiang Yao Lu Xiaoze Bao Shanqing Yu Bin Wei Qi Xuan 42 1 0 24 May 2024
Embedding Space Interpolation Beyond Mini-Batch, Beyond Pairs and Beyond Examples Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 33 4 0 09 Nov 2023
Adaptive manifold for imbalanced transductive few-shot learning Michalis Lazarou Yannis Avrithis Tania Stathaki 21 6 0 27 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 43 0 0 13 Apr 2023
A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning Yanjun Qi Han Sun Ningzhong Liu Huiyu Zhou 34 8 0 22 Oct 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 42 43 0 26 Aug 2022
FS-BAN: Born-Again Networks for Domain Generalization Few-Shot Classification Yunqing Zhao Ngai-man Cheung BDL 27 12 0 23 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 22 6 0 18 Jul 2022
Teach me how to Interpolate a Myriad of Embeddings Shashanka Venkataramanan Ewa Kijak Laurent Amsaleg Yannis Avrithis 53 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 59 345 0 13 May 2022
Generating Representative Samples for Few-Shot Classification Jingyi Xu Hieu M. Le VLM 27 61 0 05 May 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
Understanding AdamW through Proximal Methods and Scale-Freeness Zhenxun Zhuang Mingrui Liu Ashok Cutkosky Francesco Orabona 39 63 0 31 Jan 2022
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
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Miao Zhang Miaojing Shi Li Li VLM 55 20 0 30 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 36 1 0 26 Oct 2021
Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules Rangeet Pan Hridesh Rajan MoMe 16 30 0 11 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 37 13 0 06 Oct 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
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 19 45 0 09 Aug 2021
Few-shot Unsupervised Domain Adaptation with Image-to-class Sparse Similarity Encoding Sheng Huang Wanqi Yang Lei Wang Luping Zhou Ming Yang 35 8 0 06 Aug 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 47 88 0 16 Jul 2021
Trainable Class Prototypes for Few-Shot Learning Jianyi Li Guizhong Liu VLM 22 2 0 21 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 24 47 0 10 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 45 22 0 09 Jun 2021
Learning Dynamic Alignment via Meta-filter for Few-shot Learning C. Xu Chen Liu Li Zhang Chengjie Wang Jilin Li Feiyue Huang Xiangyang Xue Yanwei Fu 32 103 0 25 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
ReMP: Rectified Metric Propagation for Few-Shot Learning Yang Zhao Chunyuan Li Ping Yu Changyou Chen 35 6 0 02 Dec 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 21 126 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
Fast Few-Shot Classification by Few-Iteration Meta-Learning A. S. Tripathi Martin Danelljan Luc Van Gool Radu Timofte 37 6 0 01 Oct 2020
Cooperative Bi-path Metric for Few-shot Learning Zeyuan Wang Yifan Zhao Jia Li Yonghong Tian 21 35 0 10 Aug 2020
CrossTransformers: spatially-aware few-shot transfer Carl Doersch Ankush Gupta Andrew Zisserman ViT 215 330 0 22 Jul 2020
Contextualizing Enhances Gradient Based Meta Learning Evan Vogelbaum Rumen Dangovski L. Jing Marin Soljacic 36 3 0 17 Jul 2020
Deep Learning of Unified Region, Edge, and Contour Models for Automated Image Segmentation Ali Hatamizadeh SSeg 31 3 0 23 Jun 2020
Boosting Few-Shot Learning With Adaptive Margin Loss Aoxue Li Weiran Huang Xu Lan Jiashi Feng Zhenguo Li Liwei Wang 24 193 0 28 May 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 16 39 0 01 Apr 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning Ling Yang Liang Li Zilun Zhang Xinyu Zhou Erjin Zhou Yu Liu 23 205 0 31 Mar 2020
StarNet: towards Weakly Supervised Few-Shot Object Detection Leonid Karlinsky J. Shtok Amit Alfassy M. Lichtenstein Sivan Harary ... Sivan Doveh P. Sattigeri Rogerio Feris A. Bronstein Raja Giryes 14 6 0 15 Mar 2020
Cross-Domain Few-Shot Classification via Learned Feature-Wise Transformation Hung-Yu Tseng Hsin-Ying Lee Jia-Bin Huang Ming-Hsuan Yang 32 387 0 23 Jan 2020
Learning Multi-level Weight-centric Features for Few-shot Learning Min-Siong Liang Shaoli Huang Shirui Pan Biwei Huang Wei Liu 30 10 0 28 Nov 2019
Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector Qi Fan Wei Zhuo Chi-Keung Tang Yu-Wing Tai ObjD 47 525 0 06 Aug 2019
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 24 93 0 06 Jul 2019
Boosting Few-Shot Visual Learning with Self-Supervision Spyros Gidaris Andrei Bursuc N. Komodakis P. Pérez Matthieu Cord SSL 22 400 0 12 Jun 2019
Learning Adaptive Classifiers Synthesis for Generalized Few-Shot Learning Han-Jia Ye Hexiang Hu De-Chuan Zhan 30 59 0 07 Jun 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 496 11,727 0 09 Mar 2017