PARN: Position-Aware Relation Networks for Few-Shot Learning

10 September 2019

Papers citing "PARN: Position-Aware Relation Networks for Few-Shot Learning"

36 / 36 papers shown

Title
Recent Advances of Local Mechanisms in Computer Vision: A Survey and Outlook of Recent Work Qiangchang Wang Yilong Yin 23 0 0 02 Jun 2023
DETA: Denoised Task Adaptation for Few-Shot Learning Ji Zhang Lianli Gao Xu Luo Hengtao Shen Jingkuan Song VLM 36 19 0 11 Mar 2023
Rethinking the Metric in Few-shot Learning: From an Adaptive Multi-Distance Perspective Jinxiang Lai Siqian Yang Guannan Jiang Xi-Zhao Wang Yuxi Li ... J. Liu Bin-Bin Gao Wei Zhang Yuan Xie Chengjie Wang 28 6 0 02 Nov 2022
tSF: Transformer-based Semantic Filter for Few-Shot Learning Jinxiang Lai Siqian Yang Wenlong Liu Yi Zeng Zhongyi Huang Wenlong Wu Jun Liu Bin-Bin Gao Chengjie Wang VLM 10 19 0 02 Nov 2022
BaseTransformers: Attention over base data-points for One Shot Learning Mayug Maniparambil Kevin McGuinness Noel E. O'Connor 21 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 55 75 0 04 Oct 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Xiao Wang Bo Jiang Bin Luo 21 42 0 26 Aug 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 13 31 0 02 Jul 2022
Matching Feature Sets for Few-Shot Image Classification Arman Afrasiyabi Hugo Larochelle Jean-François Lalonde Christian Gagné VLM 17 72 0 02 Apr 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning Yang He Weihan Liang Dongyang Zhao Hong-Yu Zhou Weifeng Ge Yizhou Yu Wenqiang Zhang ViT 25 45 0 17 Mar 2022
HyperTransformer: Model Generation for Supervised and Semi-Supervised Few-Shot Learning A. Zhmoginov Mark Sandler Max Vladymyrov ViT 25 68 0 11 Jan 2022
A Relational Model for One-Shot Classification Arturs Polis Alexander Ilin BDL VLM 19 1 0 08 Nov 2021
Few-shot Learning with Global Relatedness Decoupled-Distillation Yuanen Zhou Yanrong Guo Shijie Hao Richang Hong Zhen junzha Meng Wang 16 1 0 12 Jul 2021
How to Train Your MAML to Excel in Few-Shot Classification Han-Jia Ye Wei-Lun Chao 22 49 0 30 Jun 2021
Deep Metric Learning for Few-Shot Image Classification: A Review of Recent Developments Xiaoxu Li Xiaochen Yang Zhanyu Ma Jing-Hao Xue VLM 41 116 0 17 May 2021
Hypercorrelation Squeeze for Few-Shot Segmentation Juhong Min Dahyun Kang Minsu Cho 21 288 0 04 Apr 2021
Revisiting Local Descriptor for Improved Few-Shot Classification J. He Richang Hong Xueliang Liu Mingliang Xu Qianru Sun 13 24 0 30 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 24 103 0 25 Mar 2021
Enabling the Network to Surf the Internet Zhuoling Li Haohan Wang Tymoteusz Świstek Weixin Chen Yuanzheng Li Haoqian Wang CLL 19 4 0 24 Feb 2021
Semantically Meaningful Class Prototype Learning for One-Shot Image Semantic Segmentation Tao Chen G. Xie Yazhou Yao Qiong Wang Fumin Shen Zhenmin Tang Jian Andrew Zhang VLM 19 44 0 22 Feb 2021
TLRM: Task-level Relation Module for GNN-based Few-Shot Learning Yurong Guo Zhanyu Ma Xiaoxu Li Yuan Dong 23 4 0 25 Jan 2021
Contrastive Prototype Learning with Augmented Embeddings for Few-Shot Learning Yizhao Gao Nanyi Fei Guangzhen Liu Zhiwu Lu Tao Xiang Songfang Huang 53 35 0 23 Jan 2021
Progressive Co-Attention Network for Fine-grained Visual Classification Tian Zhang Dongliang Chang Zhanyu Ma Jun Guo 18 40 0 21 Jan 2021
Local Propagation for Few-Shot Learning Yann Lifchitz Yannis Avrithis Sylvaine Picard 24 9 0 05 Jan 2021
BSNet: Bi-Similarity Network for Few-shot Fine-grained Image Classification Xiaoxu Li Jijie Wu Z. Sun Zhanyu Ma Jie Cao Jing-Hao Xue 11 124 0 29 Nov 2020
RNNP: A Robust Few-Shot Learning Approach Pratik Mazumder Pravendra Singh Vinay P. Namboodiri NoLa 13 17 0 22 Nov 2020
Region Comparison Network for Interpretable Few-shot Image Classification Z. Xue Lixin Duan Wen Li Lin Chen Jiebo Luo 14 15 0 08 Sep 2020
Self-supervised Knowledge Distillation for Few-shot Learning Jathushan Rajasegaran Salman Khan Munawar Hayat F. Khan M. Shah SSL 26 91 0 17 Jun 2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples Huaxi Huang Junjie Zhang Jian Andrew Zhang Qiang Wu Chang Xu 17 54 0 28 May 2020
Large Margin Mechanism and Pseudo Query Set on Cross-Domain Few-Shot Learning Jia-Fong Yeh Hsin-Ying Lee Bing-Chen Tsai Yi-Rong Chen Ping-Chia Huang Winston H. Hsu 13 14 0 19 May 2020
Memory-Augmented Relation Network for Few-Shot Learning J. He Richang Hong Xueliang Liu Mingliang Xu Zhengjun Zha Meng Wang 19 47 0 09 May 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning Jianhong Zhang Manli Zhang Zhiwu Lu Tao Xiang Ji-Rong Wen 9 11 0 28 Feb 2020
Improving Few-shot Learning by Spatially-aware Matching and CrossTransformer Hongguang Zhang Philip H. S. Torr Piotr Koniusz ViT 33 3 0 06 Jan 2020
Fine-Grained Visual Categorization using Meta-Learning Optimization with Sample Selection of Auxiliary Data Yabin Zhang Hui Tang K. Jia 55 94 0 28 Jul 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 181 351 0 12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,677 0 09 Mar 2017