Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 1,267 papers shown

Title
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results Dustin Carrión-Ojeda Hong Chen Adrian El Baz Sergio Escalera Chaoyu Guan Isabelle M Guyon I. Ullah Xin Eric Wang Wenwu Zhu VLM 41 6 0 31 Aug 2022
Disentangle and Remerge: Interventional Knowledge Distillation for Few-Shot Object Detection from A Conditional Causal Perspective Jiangmeng Li Yanan Zhang Jingyao Wang Hui Xiong Chengbo Jiao Xiaohui Hu Changwen Zheng Gang Hua CML 47 28 0 26 Aug 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 45 43 0 26 Aug 2022
Adversarial Feature Augmentation for Cross-domain Few-shot Classification Yan Hu A. J. Ma 38 47 0 23 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
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks Weide Liu Chi Zhang Guosheng Lin Fayao Liu ISeg SSeg 40 27 0 23 Aug 2022
Transductive Decoupled Variational Inference for Few-Shot Classification Ashutosh Kumar Singh Hadi Jamali Rad BDL VLM 45 17 0 22 Aug 2022
Prompt Vision Transformer for Domain Generalization Zangwei Zheng Xiangyu Yue Kai Wang Yang You VLM VPVLM MDE 32 51 0 18 Aug 2022
Open Long-Tailed Recognition in a Dynamic World Ziwei Liu Zhongqi Miao Xiaohang Zhan Jiayun Wang Boqing Gong Stella X. Yu VLM 46 18 0 17 Aug 2022
Constrained Few-Shot Learning: Human-Like Low Sample Complexity Learning and Non-Episodic Text Classification Jaron Mar Jiamou Liu 42 1 0 17 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 48 4 0 17 Aug 2022
Blind Users Accessing Their Training Images in Teachable Object Recognizers Jonggi Hong Jaina Gandhi Ernest Essuah Mensah Farnaz Zamiri Zeraati Ebrima Jarjue Kyungjun Lee Hernisa Kacorri VLM 26 15 0 16 Aug 2022
Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach Bin Xiao Murat Simsek B. Kantarci Ala Abu Alkheir LMTD 22 4 0 11 Aug 2022
RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning Yue Duan Lei Qi Lei Wang Luping Zhou Yinghuan Shi OOD 29 11 0 09 Aug 2022
Convolutional Ensembling based Few-Shot Defect Detection Technique Soumyajit Karmakar Abeer Banerjee P. Gidde Sumeet Saurav S. Singh UQCV 34 2 0 05 Aug 2022
Transformers as Meta-Learners for Implicit Neural Representations Yinbo Chen Xiaolong Wang AI4CE 26 61 0 04 Aug 2022
Improving Meta-Learning Generalization with Activation-Based Early-Stopping Simon Guiroy C. Pal Gonçalo Mordido Sarath Chandar 40 3 0 03 Aug 2022
Stochastic Deep Networks with Linear Competing Units for Model-Agnostic Meta-Learning Konstantinos Kalais S. Chatzis BDL 57 8 0 02 Aug 2022
Robotic Interestingness via Human-Informed Few-Shot Object Detection Seungchan Kim Chen Wang Bowen Li Sebastian Scherer 29 4 0 01 Aug 2022
Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning Lu Zhang Lu Qi Xu Yang Hong Qiao Ming-Hsuan Yang Zhiyong Liu SSL 38 3 0 01 Aug 2022
Doubly Deformable Aggregation of Covariance Matrices for Few-shot Segmentation Zhitong Xiong Haopeng Li Xiao Xiang Zhu 44 36 0 30 Jul 2022
Kernel Relative-prototype Spectral Filtering for Few-shot Learning Tao Zhang Wu Huang 31 13 0 24 Jul 2022
Vision-based Human Fall Detection Systems using Deep Learning: A Review Ekram Alam Abu Sufian P. Dutta Marco Leo 36 83 0 22 Jul 2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation Sunghwan Hong Seokju Cho Jisu Nam Stephen Lin Seung Wook Kim ViT 29 123 0 22 Jul 2022
Rethinking Few-Shot Class-Incremental Learning with Open-Set Hypothesis in Hyperbolic Geometry Yawen Cui Zitong Yu Wei Peng Li Liu CLL 35 11 0 20 Jul 2022
Contributions of Shape, Texture, and Color in Visual Recognition Yunhao Ge Yao Xiao Zhi-Qin John Xu Xingyu Wang Laurent Itti 3DH 18 26 0 19 Jul 2022
On the cross-lingual transferability of multilingual prototypical models across NLU tasks Oralie Cattan Christophe Servan S. Rosset 34 9 0 19 Jul 2022
FLAIR: Federated Learning Annotated Image Repository Congzheng Song Filip Granqvist Kunal Talwar FedML 29 28 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 25 6 0 18 Jul 2022
Self-Supervised-RCNN for Medical Image Segmentation with Limited Data Annotation B. Felfeliyan A. Hareendranathan G. Kuntze David Cornell Nils D. Forkert Jacob L. Jaremko J. Ronsky 18 18 0 17 Jul 2022
WaveGAN: Frequency-aware GAN for High-Fidelity Few-shot Image Generation Mengping Yang Zhe Wang Ziqiu Chi Wenyi Feng 30 49 0 15 Jul 2022
Improving Task-free Continual Learning by Distributionally Robust Memory Evolution Zhenyi Wang Li Shen Le Fang Qiuling Suo Tiehang Duan Mingchen Gao OOD 39 41 0 15 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 47 3 0 14 Jul 2022
Compound Prototype Matching for Few-shot Action Recognition Yifei Huang Lijin Yang Yoichi Sato 35 43 0 12 Jul 2022
MetaAge: Meta-Learning Personalized Age Estimators Wanhua Li Jiwen Lu Abudukelimu Wuerkaixi Jianjiang Feng Jie Zhou 16 8 0 12 Jul 2022
Test-Time Adaptation via Self-Training with Nearest Neighbor Information M-U Jang Sae-Young Chung Hye Won Chung OOD TTA 41 59 0 08 Jul 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods Davoud Ataee Tarzanagh Parvin Nazari Bojian Hou Li Shen Laura Balzano 53 10 0 06 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
PAC Prediction Sets for Meta-Learning Sangdon Park Yan Sun Insup Lee Osbert Bastani 41 15 0 06 Jul 2022
OpenLDN: Learning to Discover Novel Classes for Open-World Semi-Supervised Learning Mamshad Nayeem Rizve Navid Kardan Salman Khan Fahad Shahbaz Khan M. Shah 47 50 0 05 Jul 2022
Task Discrepancy Maximization for Fine-grained Few-Shot Classification Subeen Lee WonJun Moon Jae-Pil Heo 45 46 0 04 Jul 2022
CAM/CAD Point Cloud Part Segmentation via Few-Shot Learning Jiahui Wang H. Zhu Haoren Guo Abdullah Al Mamun V. Prahlad T. Lee 3DPC 39 4 0 04 Jul 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan Xuelong Li Xiaowei Xu Kwang-Ting Cheng 46 6 0 03 Jul 2022
Learning Cross-Image Object Semantic Relation in Transformer for Few-Shot Fine-Grained Image Classification Bo Zhang Jiakang Yuan Baopu Li Tao Chen Jiayuan Fan Botian Shi ViT 42 31 0 02 Jul 2022
On Non-Random Missing Labels in Semi-Supervised Learning Xinting Hu Yulei Niu Chunyan Miao Xiansheng Hua Hanwang Zhang 39 18 0 29 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
CLiMB: A Continual Learning Benchmark for Vision-and-Language Tasks Tejas Srinivasan Ting-Yun Chang Leticia Pinto-Alva Georgios Chochlakis Mohammad Rostami Jesse Thomason VLM CLL 25 73 0 18 Jun 2022
FiT: Parameter Efficient Few-shot Transfer Learning for Personalized and Federated Image Classification Aliaksandra Shysheya J. Bronskill Massimiliano Patacchiola Sebastian Nowozin Richard Turner 3DH FedML 46 27 0 17 Jun 2022
Self-Adaptive Label Augmentation for Semi-supervised Few-shot Classification Xueliang Wang Jianyu Cai Shuiwang Ji Houqiang Li Feng Wu Jie Wang 16 0 0 16 Jun 2022