A Closer Look at Few-shot Classification

8 April 2019

Papers citing "A Closer Look at Few-shot Classification"

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Title
Does MAML Only Work via Feature Re-use? A Data Centric Perspective Brando Miranda Yu-xiong Wang Oluwasanmi Koyejo 38 4 0 24 Dec 2021
The Curse of Zero Task Diversity: On the Failure of Transfer Learning to Outperform MAML and their Empirical Equivalence Brando Miranda Yu-xiong Wang Sanmi Koyejo 29 0 0 24 Dec 2021
Dynamic Channel Access via Meta-Reinforcement Learning Ziyang Lu M. C. Gursoy 32 4 0 24 Dec 2021
Dual Path Structural Contrastive Embeddings for Learning Novel Objects Bingbin Li E. Cui Yanan Li Donghui Wang Weng Kee Wong 19 1 0 23 Dec 2021
RC-Net: A Convolutional Neural Network for Retinal Vessel Segmentation T. M. Khan A. Robles-Kelly Syed S. Naqvi 34 23 0 21 Dec 2021
Ensembling Off-the-shelf Models for GAN Training Nupur Kumari Richard Y. Zhang Eli Shechtman Jun-Yan Zhu 36 86 0 16 Dec 2021
Deep Hash Distillation for Image Retrieval Young Kyun Jang Geonmo Gu ByungSoo Ko Isaac Kang N. Cho 26 34 0 16 Dec 2021
Exploring Category-correlated Feature for Few-shot Image Classification Jing Xu Xinglin Pan Xu Luo Wenjie Pei Zenglin Xu 27 4 0 14 Dec 2021
Hybrid Graph Neural Networks for Few-Shot Learning Tianyuan Yu Sen He Yi-Zhe Song Tao Xiang 28 60 0 13 Dec 2021
Shaping Visual Representations with Attributes for Few-Shot Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 34 7 0 13 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 25 11 0 08 Dec 2021
Few-Shot Image Classification Along Sparse Graphs Joseph F. Comer P. Jacobson Heiko Hoffmann 13 1 0 07 Dec 2021
Augment & Valuate : A Data Enhancement Pipeline for Data-Centric AI Youngjune Lee Oh Joon Kwon Haejun Lee Joonyoung Kim Kangwook Lee Kee-Eung Kim 22 9 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 16 13 0 07 Dec 2021
Label Hallucination for Few-Shot Classification Yiren Jian Lorenzo Torresani 22 40 0 06 Dec 2021
Curriculum Meta-Learning for Few-shot Classification Emmanouil Stergiadis Priyanka Agrawal Oliver Squire VLM 21 5 0 06 Dec 2021
Adaptive Poincaré Point to Set Distance for Few-Shot Classification Rongkai Ma Pengfei Fang Tom Drummond Mehrtash Harandi 21 45 0 03 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning Shuai Shao Lei Xing Rui Xu Weifeng Liu Yanjiang Wang Baodi Liu 51 30 0 01 Dec 2021
Ranking Distance Calibration for Cross-Domain Few-Shot Learning Pan Li S. Gong Chengjie Wang Yanwei Fu 29 32 0 01 Dec 2021
Improving traffic sign recognition by active search Sami Jaghouar Hannes Gustafsson Bernhard Mehlig Erik Werner N. Gustafsson 33 0 0 29 Nov 2021
Semi-supervised Domain Adaptation via Sample-to-Sample Self-Distillation Jeongbeen Yoon Dahyun Kang Minsu Cho TTA 27 38 0 29 Nov 2021
ManiFest: Manifold Deformation for Few-shot Image Translation Fabio Pizzati Jean-François Lalonde Raoul de Charette 37 10 0 26 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 29 82 0 23 Nov 2021
Improving Transferability of Representations via Augmentation-Aware Self-Supervision Hankook Lee Kibok Lee Kimin Lee Honglak Lee Jinwoo Shin SSL 29 51 0 18 Nov 2021
Metric-based multimodal meta-learning for human movement identification via footstep recognition Muhammad Shakeel Katsutoshi Itoyama Kenji Nishida K. Nakadai 29 0 0 15 Nov 2021
Gaussian Process Meta Few-shot Classifier Learning via Linear Discriminant Laplace Approximation Minyoung Kim Timothy M. Hospedales BDL 20 5 0 09 Nov 2021
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... Chinedum Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 49 51 0 09 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 196 387 0 06 Nov 2021
Few-shot learning with improved local representations via bias rectify module Chao Dong Qi Ye Wenchao Meng Kaixiang Yang 4 2 0 01 Nov 2021
A Comparative Review of Recent Few-Shot Object Detection Algorithms Jiaxu Leng Taiyue Chen Gao Xinbo Yongtao Yu Ye Wang Feng Gao Wang Yue ObjD 31 15 0 30 Oct 2021
Domain Agnostic Few-Shot Learning For Document Intelligence J. Mandivarapu Eric Hunch G. Fung OOD VLM 36 1 0 29 Oct 2021
RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition Shuya Ding Zhe Chen Tianyue Zheng Jun Luo 26 111 0 29 Oct 2021
Meta Guided Metric Learner for Overcoming Class Confusion in Few-Shot Road Object Detection Anay Majee A. Subramanian Kshitij Agrawal 29 3 0 28 Oct 2021
A Survey of Self-Supervised and Few-Shot Object Detection Gabriel Huang I. Laradji David Vazquez Simon Lacoste-Julien Pau Rodríguez López ObjD 34 79 0 27 Oct 2021
Learning where to learn: Gradient sparsity in meta and continual learning J. Oswald Dominic Zhao Seijin Kobayashi Simon Schug Massimo Caccia Nicolas Zucchet João Sacramento CLL 33 47 0 27 Oct 2021
How Important is Importance Sampling for Deep Budgeted Training? Eric Arazo Diego Ortego Paul Albert Noel E. O'Connor Kevin McGuinness 23 7 0 27 Oct 2021
Revisit Multimodal Meta-Learning through the Lens of Multi-Task Learning Milad Abdollahzadeh Touba Malekzadeh Ngai-man Cheung 28 28 0 27 Oct 2021
Non-Gaussian Gaussian Processes for Few-Shot Regression Marcin Sendera Jacek Tabor A. Nowak Andrzej Bedychaj Massimiliano Patacchiola Tomasz Trzciñski Przemysław Spurek Maciej Ziȩba 23 19 0 26 Oct 2021
Self-Denoising Neural Networks for Few Shot Learning S. Schwarcz Sai Saketh Rambhatla Ramalingam Chellappa 36 1 0 26 Oct 2021
Instant Response Few-shot Object Detection with Meta Strategy and Explicit Localization Inference Junying Huang Fan Chen Sibo Huang Dongyu Zhang ObjD 24 1 0 26 Oct 2021
Simultaneous Perturbation Method for Multi-Task Weight Optimization in One-Shot Meta-Learning Andrei Boiarov K. Khabarlak Igor Yastrebov 44 0 0 25 Oct 2021
A Closer Look at Few-Shot Video Classification: A New Baseline and Benchmark Zhenxi Zhu Limin Wang Sheng Guo Gangshan Wu 45 32 0 24 Oct 2021
GCCN: Global Context Convolutional Network Ali Hamdi Flora D. Salim D. Kim 12 1 0 22 Oct 2021
ProtoShotXAI: Using Prototypical Few-Shot Architecture for Explainable AI Samuel Hess G. Ditzler AAML 33 1 0 22 Oct 2021
StyleAlign: Analysis and Applications of Aligned StyleGAN Models Zongze Wu Yotam Nitzan Eli Shechtman Dani Lischinski 27 56 0 21 Oct 2021
A Strong Baseline for Semi-Supervised Incremental Few-Shot Learning Linlan Zhao Dashan Guo Yunlu Xu Liang Qiao Zhanzhan Cheng Shiliang Pu Yi Niu Xi Fang CLL 34 2 0 21 Oct 2021
Few-Shot Temporal Action Localization with Query Adaptive Transformer Sauradip Nag Xiatian Zhu Tao Xiang 11 19 0 20 Oct 2021
Who calls the shots? Rethinking Few-Shot Learning for Audio Yu Wang Nicholas J. Bryan Justin Salamon M. Cartwright J. P. Bello VLM 21 25 0 18 Oct 2021
Squeezing Backbone Feature Distributions to the Max for Efficient Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 47 37 0 18 Oct 2021
Learning Prototype-oriented Set Representations for Meta-Learning D. Guo Longlong Tian Minghe Zhang Mingyuan Zhou H. Zha OOD 30 21 0 18 Oct 2021