Learning to Compare: Relation Network for Few-Shot Learning

16 November 2017

Li Zhang

Timothy M. Hospedales

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Papers citing "Learning to Compare: Relation Network for Few-Shot Learning"

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Title
Few-shot Image Generation Using Discrete Content Representation Y. Hong Li Niu Jianfu Zhang Liqing Zhang DiffM 37 11 0 22 Jul 2022
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments Khoi Duc Minh Nguyen Quoc-Huy Tran Khoi Nguyen Binh-Son Hua Rang Nguyen 28 29 0 21 Jul 2022
Pose for Everything: Towards Category-Agnostic Pose Estimation Lumin Xu Sheng Jin Wang Zeng Wentao Liu Chao Qian Wanli Ouyang Ping Luo Xiaogang Wang 10 36 0 21 Jul 2022
Malware Triage Approach using a Task Memory based on Meta-Transfer Learning Framework Jinting Zhu Julian Jang-Jaccard I. Welch Harith Al-Sahaf S. Çamtepe AAML 50 0 0 21 Jul 2022
Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification Renrui Zhang Zhang Wei Rongyao Fang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 35 293 0 19 Jul 2022
Contributions of Shape, Texture, and Color in Visual Recognition Yunhao Ge Yao Xiao Zhi-Qin John Xu X. Wang Laurent Itti 3DH 16 26 0 19 Jul 2022
Invariant Feature Learning for Generalized Long-Tailed Classification Kaihua Tang Mingyuan Tao Jiaxin Qi Zhenguang Liu Hanwang Zhang VLM 32 52 0 19 Jul 2022
Self-Supervision Can Be a Good Few-Shot Learner Yuning Lu Liangjiang Wen Jianzhuang Liu Yajing Liu Xinmei Tian SSL 22 37 0 19 Jul 2022
Few-shot Open-set Recognition Using Background as Unknowns Nan Song Chi Zhang Guosheng Lin VLM SSL 26 10 0 19 Jul 2022
Semantic Novelty Detection via Relational Reasoning Francesco Cappio Borlino S. Bucci Tatiana Tommasi 17 4 0 18 Jul 2022
Dense Cross-Query-and-Support Attention Weighted Mask Aggregation for Few-Shot Segmentation Xinyu Shi Dong Wei Yu Zhang Donghuan Lu Munan Ning Jiashun Chen Kai Ma Yefeng Zheng 27 98 0 18 Jul 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 13 6 0 18 Jul 2022
Learn-to-Decompose: Cascaded Decomposition Network for Cross-Domain Few-Shot Facial Expression Recognition Xinyi Zou Y. Yan Jing-Hao Xue Si Chen Hanzi Wang CVBM 43 12 0 16 Jul 2022
Cross-Domain Cross-Set Few-Shot Learning via Learning Compact and Aligned Representations Wentao Chen Z. Zhang Wei Wang Liang Wang Zilei Wang Tieniu Tan 29 10 0 16 Jul 2022
Feed-Forward Latent Domain Adaptation Ondrej Bohdal Da Li S. Hu Timothy M. Hospedales OOD 41 1 0 15 Jul 2022
Registration based Few-Shot Anomaly Detection Chaoqin Huang Haoyan Guan Aofan Jiang Ya Zhang Michael W. Spratling Yanfeng Wang 30 142 0 15 Jul 2022
Fine-grained Few-shot Recognition by Deep Object Parsing Ruizhao Zhu Pengkai Zhu Samarth Mishra Venkatesh Saligrama 30 0 0 14 Jul 2022
Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation Hao Fei Siteng Huang Wenbin Li Donglin Wang VLM 28 32 0 14 Jul 2022
Semi-supervised cross-lingual speech emotion recognition Mirko Agarla Simone Bianco Luigi Celona Paolo Napoletano A. Petrovsky Flavio Piccoli Raimondo Schettini I. Shanin 33 14 0 14 Jul 2022
Transferability-Guided Cross-Domain Cross-Task Transfer Learning Yang Tan Enming Zhang Yang Li Shao-Lun Huang Xiaoping Zhang OT 38 9 0 12 Jul 2022
MetaAge: Meta-Learning Personalized Age Estimators Wanhua Li Jiwen Lu Abudukelimu Wuerkaixi Jianjiang Feng Jie Zhou 13 8 0 12 Jul 2022
SHREC'22 Track: Sketch-Based 3D Shape Retrieval in the Wild Jie Qin Shuaihang Yuan Jiaxin Chen Boulbaba Ben Amor Yi Fang ... Haiqin Chen Yan Wang Qunying Zhou Ji Zhang Hongyu Wang 3DV 34 9 0 11 Jul 2022
Continual Few-Shot Learning with Adversarial Class Storage Kun Wu Chengxiang Yin Jian Tang Zhiyuan Xu Yanzhi Wang Dejun Yang BDL VLM CLL 19 1 0 10 Jul 2022
Generating Pseudo-labels Adaptively for Few-shot Model-Agnostic Meta-Learning Guodong Liu Tongling Wang Shuoxi Zhang Kun He 41 1 0 09 Jul 2022
Boosting Zero-shot Learning via Contrastive Optimization of Attribute Representations Yu Du Miaojing Shi Fangyun Wei Guoqi Li VLM 43 15 0 08 Jul 2022
Few-Example Clustering via Contrastive Learning M-U Jang Sae-Young Chung 25 0 0 08 Jul 2022
FewSOL: A Dataset for Few-Shot Object Learning in Robotic Environments P. JishnuJaykumar Yu-Wei Chao Yu Xiang 21 11 0 06 Jul 2022
ViRel: Unsupervised Visual Relations Discovery with Graph-level Analogy D. Zeng Tailin Wu J. Leskovec GNN 25 1 0 04 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 40 46 0 04 Jul 2022
Memory-Based Label-Text Tuning for Few-Shot Class-Incremental Learning Jinze Li Yan Bai Yihang Lou Xiongkun Linghu Jianzhong He Shaoyun Xu Tao Bai VLM CLL 33 2 0 03 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 27 31 0 02 Jul 2022
Informed Learning by Wide Neural Networks: Convergence, Generalization and Sampling Complexity Jianyi Yang Shaolei Ren 32 3 0 02 Jul 2022
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning Simone Martone Francesco Manigrasso Lamberti Fabrizio Lia Morra 34 3 0 26 Jun 2022
p-Meta: Towards On-device Deep Model Adaptation Zhongnan Qu Zimu Zhou Yongxin Tong Lothar Thiele 18 13 0 25 Jun 2022
Task-Adaptive Few-shot Node Classification Song Wang Kaize Ding Chuxu Zhang Chen Chen Jundong Li OffRL 36 48 0 23 Jun 2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model Zhiying Jiang Yi-Zhu Dai Ji Xin Ming Li Jimmy J. Lin 24 5 0 23 Jun 2022
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation Ehtesham Iqbal Sirojbek Safarov Seongdeok Bang 25 35 0 20 Jun 2022
EEML: Ensemble Embedded Meta-learning Geng Li Boyuan Ren Hongzhi Wang FedML 13 2 0 18 Jun 2022
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification Xueliang Wang Jianyu Cai Shuiwang Ji Houqiang Li Feng Wu Jie Wang 14 0 0 16 Jun 2022
Lessons learned from the NeurIPS 2021 MetaDL challenge: Backbone fine-tuning without episodic meta-learning dominates for few-shot learning image classification Adrian El Baz Ihsan Ullah Edesio Alcobaça André C. P. L. F. de Carvalho Hong Chen ... Ekrem Öztürk J. V. Rijn Haozhe Sun Xin Wang Wenwu Zhu 35 12 0 15 Jun 2022
Rethinking Generalization in Few-Shot Classification Markus Hiller Rongkai Ma Mehrtash Harandi Tom Drummond OCL VLM 30 55 0 15 Jun 2022
Category-Agnostic 6D Pose Estimation with Conditional Neural Processes Yumeng Li Ni Gao Hanna Ziesche Gerhard Neumann 32 5 0 14 Jun 2022
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection Han Liu Feng Zhang Xiaotong Zhang Siyang Zhao Ju Sun Hong Yu Xianchao Zhang 54 23 0 14 Jun 2022
Masked Autoencoders are Robust Data Augmentors Haohang Xu Shuangrui Ding Xiaopeng Zhang H. Xiong 35 27 0 10 Jun 2022
A Relational Intervention Approach for Unsupervised Dynamics Generalization in Model-Based Reinforcement Learning J. Guo Biwei Huang Dacheng Tao 15 20 0 09 Jun 2022
Learning to generate imaginary tasks for improving generalization in meta-learning Yichen Wu Long-Kai Huang Ying Wei OOD 6 0 0 09 Jun 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
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning Momin Abbas Quan-Wu Xiao Lisha Chen Pin-Yu Chen Tianyi Chen 21 78 0 08 Jun 2022
Metric Based Few-Shot Graph Classification Donato Crisostomi Simone Antonelli Valentino Maiorca Luca Moschella R. Marin Emanuele Rodolà 32 5 0 08 Jun 2022
Few-Shot Learning by Dimensionality Reduction in Gradient Space M. Gauch M. Beck Thomas Adler D. Kotsur Stefan Fiel ... Markus Holzleitner Werner Zellinger D. Klotz Sepp Hochreiter Sebastian Lehner 46 9 0 07 Jun 2022