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Matching Networks for One Shot Learning

13 June 2016

Papers citing "Matching Networks for One Shot Learning"

50 / 3,162 papers shown

Title
Semantic-Aware Graph Matching Mechanism for Multi-Label Image Recognition Yanan Wu Songhe Feng Yang Wang 60 11 0 21 Apr 2023
Benchmarking Low-Shot Robustness to Natural Distribution Shifts Aaditya K. Singh Kartik Sarangmath Prithvijit Chattopadhyay Judy Hoffman OOD 90 1 0 21 Apr 2023
Task-Adaptive Pseudo Labeling for Transductive Meta-Learning Sang-Hoon Lee Seunghyun Lee B. Song 87 0 0 21 Apr 2023
Angle based dynamic learning rate for gradient descent Neel Mishra Kiran Ravish ODL 71 1 0 20 Apr 2023
Regularizing Second-Order Influences for Continual Learning Zhicheng Sun Yadong Mu G. Hua CLL 70 25 0 20 Apr 2023
Clustered-patch Element Connection for Few-shot Learning Jinxiang Lai Siqian Yang Junhong Zhou Wenlong Wu Xiao Chen Jun Liu Bin-Bin Gao Chengjie Wang 63 8 0 20 Apr 2023
Few-shot Medical Image Segmentation via Cross-Reference Transformer Yao-Pin Huang Jianming Liu ViT MedIm OOD 83 0 0 19 Apr 2023
A Survey on Few-Shot Class-Incremental Learning Song Tian Lusi Li Weijun Li Hang Ran Xin Ning Prayag Tiwari CLL 102 110 0 17 Apr 2023
Leveraging sparse and shared feature activations for disentangled representation learning Marco Fumero F. Wenzel Luca Zancato Alessandro Achille Emanuele Rodolà Stefano Soatto Bernhard Schölkopf Francesco Locatello OOD DRL 95 25 0 17 Apr 2023
The Art of Camouflage: Few-shot Learning for Animal Detection and Segmentation Thanh-Tung Phan-Nguyen Anh-Khoa Nguyen Vu Nhat-Duy Nguyen Vinh-Tiep Nguyen T. Ngo Thanh-Toan Do M. Tran Tam V. Nguyen 78 5 0 15 Apr 2023
Learning to Defer with Limited Expert Predictions Patrick Hemmer Lukas Thede Michael Vossing Johannes Jakubik Niklas Kühl 47 15 0 14 Apr 2023
LSFSL: Leveraging Shape Information in Few-shot Learning Deepan Padmanabhan Shruthi Gowda Elahe Arani Bahram Zonooz 64 8 0 13 Apr 2023
Out-of-distribution Few-shot Learning For Edge Devices without Model Fine-tuning Xinyun Zhang Lanqing Hong OODD 90 0 0 13 Apr 2023
Robust and Context-Aware Real-Time Collaborative Robot Handling via Dynamic Gesture Commands Rui Chen Alvin C M Shek Changliu Liu 38 4 0 12 Apr 2023
AGI for Agriculture Guoyu Lu Sheng Li Gengchen Mai Jin Sun Dajiang Zhu ... R. Xu Daniel Petti Changying Li Tianming Liu Changying Li AI4CE 98 17 0 12 Apr 2023
UniverSeg: Universal Medical Image Segmentation V. Butoi Jose Javier Gonzalez Ortiz Tianyu Ma M. Sabuncu John Guttag Adrian Dalca 92 87 0 12 Apr 2023
APPLeNet: Visual Attention Parameterized Prompt Learning for Few-Shot Remote Sensing Image Generalization using CLIP Mainak Singha Ankit Jha Bhupendra S. Solanki Shirsha Bose Biplab Banerjee VLM 107 27 0 12 Apr 2023
Meta-Learned Models of Cognition Marcel Binz Ishita Dasgupta Akshay K. Jagadish M. Botvinick Jane X. Wang Eric Schulz 97 27 0 12 Apr 2023
Few Shot Semantic Segmentation: a review of methodologies, benchmarks, and open challenges Nicolás Catalano Matteo Matteucci VLM 63 4 0 12 Apr 2023
Task Difficulty Aware Parameter Allocation & Regularization for Lifelong Learning Wenjin Wang Yunqing Hu Qianglong Chen Yin Zhang CLL 103 13 0 11 Apr 2023
A Comprehensive Survey on Deep Graph Representation Learning Wei Ju Zheng Fang Yiyang Gu Zequn Liu Qingqing Long ... Jingyang Yuan Yusheng Zhao Yifan Wang Xiao Luo Ming Zhang GNN AI4TS 184 163 0 11 Apr 2023
Simulated Annealing in Early Layers Leads to Better Generalization Amirm. Sarfi Zahra Karimpour Muawiz Chaudhary N. Khalid Mirco Ravanelli Sudhir Mudur Eugene Belilovsky AI4CE CLL 77 9 0 10 Apr 2023
PCR: Proxy-based Contrastive Replay for Online Class-Incremental Continual Learning Huiwei Lin Baoquan Zhang Shanshan Feng Xutao Li Yunming Ye CLL 81 60 0 10 Apr 2023
MASIL: Towards Maximum Separable Class Representation for Few Shot Class Incremental Learning Anant Khandelwal CLL 69 0 0 08 Apr 2023
From Saliency to DINO: Saliency-guided Vision Transformer for Few-shot Keypoint Detection Changsheng Lu Hao Zhu Piotr Koniusz 77 11 0 06 Apr 2023
Learning to Learn with Indispensable Connections Sambhavi Tiwari Manas Gogoi Shekhar Verma Krishna Pratap Singh CLL 78 1 0 06 Apr 2023
Strong Baselines for Parameter Efficient Few-Shot Fine-tuning S. Basu Daniela Massiceti S. Hu Soheil Feizi VLM 85 34 0 04 Apr 2023
Meta-Learning with a Geometry-Adaptive Preconditioner Suhyun Kang Duhun Hwang Moonjung Eo Taesup Kim Wonjong Rhee AI4CE 78 16 0 04 Apr 2023
VNE: An Effective Method for Improving Deep Representation by Manipulating Eigenvalue Distribution Jaeill Kim Suhyun Kang Duhun Hwang Jungwook Shin Wonjong Rhee DRL 109 23 0 04 Apr 2023
Use Your Head: Improving Long-Tail Video Recognition Toby Perrett Saptarshi Sinha T. Burghardt Majid Mirmehdi Dima Damen 95 17 0 03 Apr 2023
MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Changxin Gao Yingya Zhang Deli Zhao Nong Sang 84 45 0 03 Apr 2023
Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting Timm Hess Eli Verwimp Gido M. van de Ven Tinne Tuytelaars CLL 126 9 0 03 Apr 2023
Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning Zifeng Ding Jingpei Wu Zong-Xun Li Yunpu Ma Volker Tresp 81 9 0 02 Apr 2023
Sketch-based Video Object Localization Sangmin Woo So-Yeong Jeon Jinyoung Park Minji Son Sumin Lee Changick Kim 91 0 0 02 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud Classification Chuangguan Ye Erik Cambria Bo Zhang Tao Chen 3DPC 89 15 0 31 Mar 2023
What Makes for Effective Few-shot Point Cloud Classification? Chuangguan Ye Erik Cambria Yongbin Liao Yang-ting Zhang Tao Chen Jiayuan Fan 3DPC 108 26 0 31 Mar 2023
Scalable Bayesian Meta-Learning through Generalized Implicit Gradients Yilang Zhang Bingcong Li Shi-Ji Gao G. Giannakis BDL 82 11 0 31 Mar 2023
Adaptive Cross Batch Normalization for Metric Learning Thalaiyasingam Ajanthan Matt Ma Anton Van Den Hengel Stephen Gould 57 0 0 30 Mar 2023
Meta-Learning Parameterized First-Order Optimizers using Differentiable Convex Optimization Tanmay Gautam Samuel Pfrommer Somayeh Sojoudi 66 2 0 29 Mar 2023
Polarity is all you need to learn and transfer faster Qingyang Wang Michael A. Powell Ali Geisa Eric W. Bridgeford Joshua T. Vogelstein 72 3 0 29 Mar 2023
Rethinking matching-based few-shot action recognition Juliette Bertrand Yannis Kalantidis Giorgos Tolias 67 1 0 28 Mar 2023
Few-Shot 3D Point Cloud Semantic Segmentation via Stratified Class-Specific Attention Based Transformer Network Canyu Zhang Zhenyao Wu Xinyi Wu Ziyu Zhao Song Wang 3DPC ViT 93 17 0 28 Mar 2023
Learning Expressive Prompting With Residuals for Vision Transformers Rajshekhar Das Yonatan Dukler Avinash Ravichandran A. Swaminathan VLM VPVLM 71 22 0 27 Mar 2023
CoDeC: Communication-Efficient Decentralized Continual Learning Sakshi Choudhary Sai Aparna Aketi Gobinda Saha Kaushik Roy CLL 84 3 0 27 Mar 2023
Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching Donggyun Kim Jinwoo Kim Seongwoong Cho Chong Luo Seunghoon Hong VLM 104 24 0 27 Mar 2023
Guided Transfer Learning Danilo Nikolić Davor Andrić V. Nikolić 46 2 0 26 Mar 2023
Prototype-Sample Relation Distillation: Towards Replay-Free Continual Learning Nader Asadi Mohammad Davar Sudhir Mudur Rahaf Aljundi Eugene Belilovsky CLL 89 37 0 26 Mar 2023
Hierarchical Dense Correlation Distillation for Few-Shot Segmentation Bohao Peng Zhuotao Tian Xiaoyang Wu Chenyao Wang Shu Liu Jingyong Su Jiaya Jia 127 77 0 26 Mar 2023
Boosting Few-Shot Text Classification via Distribution Estimation Han Liu Feng Zhang Xiaotong Zhang Siyang Zhao Fenglong Ma Xiao-Ming Wu Hongyang Chen Hong Yu Xianchao Zhang OODD VLM 120 12 0 26 Mar 2023
Autoregressive Conditional Neural Processes W. Bruinsma Stratis Markou James Requiema Andrew Y. K. Foong Tom R. Andersson Anna Vaughan Anthony Buonomo J. S. Hosking Richard Turner BDL UQCV 88 25 0 25 Mar 2023