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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
Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species Changsheng Lu Piotr Koniusz 104 39 0 12 Dec 2021
Learn from Human Teams: a Probabilistic Solution to Real-Time Collaborative Robot Handling with Dynamic Gesture Commands Rui Chen Alvin C M Shek Changliu Liu 53 3 0 11 Dec 2021
PMFL: Partial Meta-Federated Learning for heterogeneous tasks and its applications on real-world medical records Tianyi Zhang Shirui Zhang Ziwei Chen Dianbo Liu FedML 78 4 0 10 Dec 2021
Spatio-temporal Relation Modeling for Few-shot Action Recognition Anirudh Thatipelli Sanath Narayan Salman Khan Rao Muhammad Anwer Fahad Shahbaz Khan Guohao Li ViT 83 92 0 09 Dec 2021
Few-Shot NLU with Vector Projection Distance and Abstract Triangular CRF Su Zhu Lu Chen Ruisheng Cao Zhi Chen Qingliang Miao Kai Yu 54 2 0 09 Dec 2021
Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers Zunlei Feng Jiacong Hu Sai Wu Xiaotian Yu Mingli Song Xiuming Zhang 84 14 0 09 Dec 2021
Constrained Mean Shift Using Distant Yet Related Neighbors for Representation Learning K. Navaneet Soroush Abbasi Koohpayegani Ajinkya Tejankar Kossar Pourahmadi Akshayvarun Subramanya Hamed Pirsiavash SSL 77 8 0 08 Dec 2021
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification Rex Liu Huan Zhang Hamed Pirsiavash Xin Liu ViT 92 13 0 08 Dec 2021
Few-Shot Image Classification Along Sparse Graphs Joseph F. Comer P. Jacobson Heiko Hoffmann 86 1 0 07 Dec 2021
Learning Instance and Task-Aware Dynamic Kernels for Few Shot Learning Rongkai Ma Pengfei Fang Gilat Avraham Yan Zuo Tianyu Zhu Tom Drummond Mehrtash Harandi VLM 49 13 0 07 Dec 2021
Label Hallucination for Few-Shot Classification Yiren Jian Lorenzo Torresani 83 42 0 06 Dec 2021
Prototypical Model with Novel Information-theoretic Loss Function for Generalized Zero Shot Learning Chunlin Ji Hanchu Shen Zhan Xiong F. Chen Meiying Zhang Huiwen Yang 117 0 0 06 Dec 2021
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 76 5 0 06 Dec 2021
MetaCloth: Learning Unseen Tasks of Dense Fashion Landmark Detection from a Few Samples Yuying Ge Ruimao Zhang Ping Luo 64 7 0 06 Dec 2021
Stage Conscious Attention Network (SCAN) : A Demonstration-Conditioned Policy for Few-Shot Imitation Jia-Fong Yeh Chi-Ming Chung Hung-Ting Su Yi-Ting Chen Winston H. Hsu 60 3 0 04 Dec 2021
A Multi-Strategy based Pre-Training Method for Cold-Start Recommendation Bowen Hao Hongzhi Yin Jing Zhang Cuiping Li Hong Chen 96 22 0 04 Dec 2021
Self-supervised Graph Learning for Occasional Group Recommendation Bowen Hao Hongzhi Yin Cuiping Li Hong Chen 87 7 0 04 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 71 47 0 03 Dec 2021
PartImageNet: A Large, High-Quality Dataset of Parts Ju He Shuo Yang Shaokang Yang Adam Kortylewski Xiaoding Yuan Jieneng Chen Shuai Liu Cheng Yang Qihang Yu Alan Yuille 3DV MLLM 3DH VLM 126 100 0 02 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 96 30 0 01 Dec 2021
Ranking Distance Calibration for Cross-Domain Few-Shot Learning Pan Li S. Gong Chengjie Wang Yanwei Fu 83 36 0 01 Dec 2021
Affect-DML: Context-Aware One-Shot Recognition of Human Affect using Deep Metric Learning Kunyu Peng Alina Roitberg David Schneider Marios Koulakis Kailun Yang Rainer Stiefelhagen CVBM 77 3 0 30 Nov 2021
Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning Hanbyel Cho Yooshin Cho Jaemyung Yu Junmo Kim 3DH 41 15 0 30 Nov 2021
Learning with Noisy Labels by Efficient Transition Matrix Estimation to Combat Label Miscorrection Seong Min Kye Kwanghee Choi Joonyoung Yi Buru Chang NoLa 96 17 0 29 Nov 2021
AVA-AVD: Audio-Visual Speaker Diarization in the Wild Eric Z. Xu Zeyang Song Satoshi Tsutsui C. Feng Mang Ye Mike Zheng Shou VGen 83 43 0 29 Nov 2021
Improving traffic sign recognition by active search Sami Jaghouar Hannes Gustafsson Bernhard Mehlig Erik Werner N. Gustafsson 51 0 0 29 Nov 2021
Human and Scene Motion Deblurring using Pseudo-blur Synthesizer Jonathan Samuel Lumentut I. Park 32 3 0 25 Nov 2021
Sharing to learn and learning to share; Fitting together Meta-Learning, Multi-Task Learning, and Transfer Learning: A meta review Richa Upadhyay Ronald Phlypo Rajkumar Saini Marcus Liwicki CLL 76 5 0 23 Nov 2021
Reviewing continual learning from the perspective of human-level intelligence Yifan Chang Wenbo Li Jian Peng Bo Tang Yuzhi Kang Yinjie Lei Yuanmiao Gui Qing Zhu Yu Liu Haifeng Li 113 4 0 23 Nov 2021
Few-Shot Object Detection via Association and DIscrimination Yuhang Cao Jiaqi Wang Ying Jin Tong Wu Kai-xiang Chen Ziwei Liu Dahua Lin ObjD 85 84 0 23 Nov 2021
One-shot Weakly-Supervised Segmentation in Medical Images Wenhui Lei Q. Su Ran Gu Na Wang Xinglong Liu Guotai Wang Xiaofan Zhang Shaoting Zhang 58 2 0 21 Nov 2021
Generating meta-learning tasks to evolve parametric loss for classification learning Zhaoyang Hai Xiabi Liu Yuchen Ren N. Q. Soomro 40 0 0 20 Nov 2021
Metric-based multimodal meta-learning for human movement identification via footstep recognition Muhammad Shakeel Katsutoshi Itoyama Kenji Nishida K. Nakadai 132 1 0 15 Nov 2021
Attention Guided Cosine Margin For Overcoming Class-Imbalance in Few-Shot Road Object Detection Ashutosh Agarwal Anay Majee A. Subramanian Chetan Arora 32 4 0 12 Nov 2021
Feature Generation for Long-tail Classification Rahul Vigneswaran M. Law V. Balasubramanian Makarand Tapaswi VLM 74 16 0 10 Nov 2021
Cross-lingual Adaption Model-Agnostic Meta-Learning for Natural Language Understanding Qianying Liu Fei Cheng Sadao Kurohashi 49 1 0 10 Nov 2021
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation Minyoung Kim Timothy M. Hospedales BDL 101 5 0 09 Nov 2021
Incremental Meta-Learning via Episodic Replay Distillation for Few-Shot Image Recognition Kai Wang Xialei Liu Andrew D. Bagdanov Luis Herranz Shang Rui Joost van de Weijer CLL VLM 93 9 0 09 Nov 2021
Dual Prototypical Contrastive Learning for Few-shot Semantic Segmentation Hyeongjun Kwon Somi Jeong Sunok Kim Kwanghoon Sohn VLM 65 10 0 09 Nov 2021
Improved Regularization and Robustness for Fine-tuning in Neural Networks Dongyue Li Hongyang R. Zhang NoLa 98 56 0 08 Nov 2021
Enhancing Prototypical Few-Shot Learning by Leveraging the Local-Level Strategy Junying Huang Fan Chen Keze Wang Liang Lin Dongyu Zhang 64 8 0 08 Nov 2021
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation Fenglin Liu Chenyu You Xian Wu Shen Ge Sheng Wang Xu Sun MedIm 141 94 0 08 Nov 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 96 35 0 08 Nov 2021
A Relational Model for One-Shot Classification Arturs Polis Alexander Ilin BDL VLM 48 1 0 08 Nov 2021
Learning to Rectify for Robust Learning with Noisy Labels Haoliang Sun Chenhui Guo Qinglai Wei Zhongyi Han Yilong Yin NoLa 169 36 0 08 Nov 2021
Crowdsourcing with Meta-Workers: A New Way to Save the Budget Guangyang Han Guoxian Yu Li-zhen Cui C. Domeniconi Xiangliang Zhang OffRL 33 0 0 07 Nov 2021
Tip-Adapter: Training-free CLIP-Adapter for Better Vision-Language Modeling Renrui Zhang Rongyao Fang Wei Zhang Peng Gao Kunchang Li Jifeng Dai Yu Qiao Hongsheng Li VLM 292 405 0 06 Nov 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks Jiaji Huang Qiang Qiu Kenneth Church 74 4 0 05 Nov 2021
Meta-Forecasting by combining Global Deep Representations with Local Adaptation Riccardo Grazzi Valentin Flunkert David Salinas Tim Januschowski Matthias Seeger Cédric Archambeau AI4TS AI4CE 74 7 0 05 Nov 2021
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups A. Wainakh Ephraim Zimmer Sandeep Subedi Jens Keim Tim Grube Shankar Karuppayah Alejandro Sánchez Guinea Max Mühlhäuser 81 9 0 05 Nov 2021