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
End-to-end One-shot Human Parsing Haoyu He Bohan Zhuang Jing Zhang Jianfei Cai Dacheng Tao VLM 37 8 0 04 May 2021
OR-Net: Pointwise Relational Inference for Data Completion under Partial Observation Qianyu Feng Linchao Zhu Bang Zhang Pan Pan Yi Yang 16 0 0 02 May 2021
Subspace Representation Learning for Few-shot Image Classification Ting-Yao Hu Zhi-Qi Cheng Alexander G. Hauptmann 39 5 0 02 May 2021
GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition Bo Liu Haoxiang Li Hao Kang G. Hua Nuno Vasconcelos CVBM 31 38 0 01 May 2021
Breadcrumbs: Adversarial Class-Balanced Sampling for Long-tailed Recognition Bo Liu Haoxiang Li Hao Kang G. Hua Nuno Vasconcelos 33 14 0 01 May 2021
Updatable Siamese Tracker with Two-stage One-shot Learning Xing Sun G. Han Lihong Guo Tingfa Xu Jianan Li Peixun Liu 26 8 0 30 Apr 2021
Few-Shot Video Object Detection Qi Fan Chi-Keung Tang Yu-Wing Tai 34 11 0 30 Apr 2021
Spirit Distillation: A Model Compression Method with Multi-domain Knowledge Transfer Zhiyuan Wu Yu-Gang Jiang Minghao Zhao Chupeng Cui Zongmin Yang Xinhui Xue Hong Qi VLM 25 9 0 29 Apr 2021
Cross-Domain Few-Shot Classification via Adversarial Task Augmentation Haoqing Wang Zhihong Deng 32 120 0 29 Apr 2021
Rich Semantics Improve Few-shot Learning Mohamed Afham Salman Khan Muhammad Haris Khan Muzammal Naseer Fahad Shahbaz Khan VLM 37 24 0 26 Apr 2021
Attribute-Modulated Generative Meta Learning for Zero-Shot Classification Yun Yvonna Li Zhe Liu Lina Yao Can Wang VLM 36 25 0 22 Apr 2021
A Meta-Learning Approach for Medical Image Registration Heejung Park Gyeong Min Lee Soopil Kim Gahyung Ryu Areum Jeong Sang Hyun Park Sa-Hee Min 21 11 0 21 Apr 2021
Few-shot learning via tensor hallucination Michalis Lazarou Yannis Avrithis Tania Stathaki 24 4 0 19 Apr 2021
SCNet: Enhancing Few-Shot Semantic Segmentation by Self-Contrastive Background Prototypes Jiacheng Chen Bin-Bin Gao Zongqing Lu Jing-Hao Xue Chengjie Wang Q. Liao VLM 23 10 0 19 Apr 2021
Pareto Self-Supervised Training for Few-Shot Learning Zhengyu Chen Jixie Ge Heshen Zhan Siteng Huang Donglin Wang 16 115 0 16 Apr 2021
Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment G. Han Shiyuan Huang Jiawei Ma Yicheng He Shih-Fu Chang ObjD 29 163 0 15 Apr 2021
Learning Normal Dynamics in Videos with Meta Prototype Network Hui Lv Chong Chen Zhen Cui Chunyan Xu Yong Li Jian Yang 30 139 0 14 Apr 2021
How Sensitive are Meta-Learners to Dataset Imbalance? Mateusz Ochal Massimiliano Patacchiola Amos Storkey Jose Vazquez Sen Wang 30 3 0 12 Apr 2021
Reinforced Attention for Few-Shot Learning and Beyond Jie Hong Pengfei Fang Weihao Li Tong Zhang Christian Simon Mehrtash Harandi L. Petersson 12 49 0 09 Apr 2021
Conditional Hyper-Network for Blind Super-Resolution with Multiple Degradations Guanghao Yin Wei Wang Zehuan Yuan Wei Ji Dongdong Yu Shouqian Sun Tat-Seng Chua Changhu Wang 25 14 0 08 Apr 2021
Streaming Self-Training via Domain-Agnostic Unlabeled Images Zhiqiu Lin Deva Ramanan Aayush Bansal LRM 17 5 0 07 Apr 2021
Learnable Expansion-and-Compression Network for Few-shot Class-Incremental Learning Boyu Yang Mingbao Lin Binghao Liu Mengying Fu Chang-rui Liu Rongrong Ji QiXiang Ye CLL 32 14 0 06 Apr 2021
Adaptive Prototype Learning and Allocation for Few-Shot Segmentation Gen Li Varun Jampani Laura Sevilla-Lara Deqing Sun Jonghyun Kim Joongkyu Kim 31 354 0 05 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 34 288 0 04 Apr 2021
Plot2API: Recommending Graphic API from Plot via Semantic Parsing Guided Neural Network Zeyu Wang Sheng Huang Zhongxin Liu Meng Yan Xin Xia Bei Wang Dan Yang 9 3 0 02 Apr 2021
Learning to Filter: Siamese Relation Network for Robust Tracking Shuyang Cheng Bineng Zhong Guorong Li Xin Liu Zhenjun Tang Xianxian Li Jing Wang 43 87 0 02 Apr 2021
Federated Few-Shot Learning with Adversarial Learning Chenyou Fan Jianwei Huang FedML 23 29 0 01 Apr 2021
Self-Guided and Cross-Guided Learning for Few-Shot Segmentation Bingfeng Zhang Jimin Xiao Terry Qin 27 163 0 30 Mar 2021
Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection Hanzhe Hu Shuai Bai Aoxue Li J. Cui Liwei Wang ObjD 27 154 0 30 Mar 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 24 24 0 30 Mar 2021
von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning Tyler R. Scott Andrew C. Gallagher Michael C. Mozer 29 39 0 29 Mar 2021
Mining Latent Classes for Few-shot Segmentation Lihe Yang Wei Zhuo Lei Qi Yinghuan Shi Yang Gao 44 126 0 29 Mar 2021
Defect-GAN: High-Fidelity Defect Synthesis for Automated Defect Inspection Gongjie Zhang Kaiwen Cui Tzu-Yi Hung Shijian Lu 29 111 0 28 Mar 2021
Meta-Mining Discriminative Samples for Kinship Verification Wanhua Li Shiwei Wang Jiwen Lu Jianjiang Feng Jie Zhou 36 20 0 28 Mar 2021
Embedding Transfer with Label Relaxation for Improved Metric Learning Sungyeon Kim Dongwon Kim Minsu Cho Suha Kwak 32 32 0 27 Mar 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
Orthogonal Projection Loss Kanchana Ranasinghe Muzammal Naseer Munawar Hayat Salman Khan Fahad Shahbaz Khan VLM 27 69 0 25 Mar 2021
Universal Representation Learning from Multiple Domains for Few-shot Classification Weihong Li Xialei Liu Hakan Bilen SSL OOD VLM 32 84 0 25 Mar 2021
Spirit Distillation: Precise Real-time Semantic Segmentation of Road Scenes with Insufficient Data Zhiyuan Wu Yu-Gang Jiang Chupeng Cui Zongmin Yang Xinhui Xue Hong Qi 15 5 0 25 Mar 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
Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types Thomas Mensink J. Uijlings Alina Kuznetsova Michael Gygli V. Ferrari VLM 48 81 0 24 Mar 2021
Meta-Adversarial Inverse Reinforcement Learning for Decision-making Tasks Pin Wang Hanhan Li Ching-yao Chan 27 9 0 23 Mar 2021
Hierarchical Representation based Query-Specific Prototypical Network for Few-Shot Image Classification Yaohui Li Huaxiong Li Haoxing Chen Chunlin Chen 32 4 0 21 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
A Modular and Unified Framework for Detecting and Localizing Video Anomalies Keval Doshi Yasin Yılmaz 35 18 0 21 Mar 2021
CLTA: Contents and Length-based Temporal Attention for Few-shot Action Recognition Yang Bo Yangdi Lu Wenbo He VLM 38 0 0 18 Mar 2021
Meta-learning of Pooling Layers for Character Recognition Takato Otsuzuki Heon Song S. Uchida Hideaki Hayashi 42 2 0 17 Mar 2021
Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning Namyeong Kwon Hwidong Na Gabriel Huang Simon Lacoste-Julien 28 7 0 16 Mar 2021
Evolving parametrized Loss for Image Classification Learning on Small Datasets Zhaoyang Hai Xiabi Liu 24 0 0 15 Mar 2021
Robust MAML: Prioritization task buffer with adaptive learning process for model-agnostic meta-learning Thanh Nguyen Tung M. Luu T. Pham Sanzhar Rakhimkul Chang D. Yoo 22 10 0 15 Mar 2021