A Closer Look at Few-shot Classification

8 April 2019

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

50 / 843 papers shown

Title
Channel Relationship Prediction with Forget-Update Module for Few-shot Classification Minglei Yuan Cunhao Cai Tong Lu ViT 6 0 0 16 Jun 2020
LFD-ProtoNet: Prototypical Network Based on Local Fisher Discriminant Analysis for Few-shot Learning K. Mukaiyama Issei Sato Masashi Sugiyama 6 2 0 15 Jun 2020
Backdoor Attacks on Federated Meta-Learning Chien-Lun Chen L. Golubchik Marco Paolieri FedML 14 32 0 12 Jun 2020
What makes instance discrimination good for transfer learning? Nanxuan Zhao Zhirong Wu Rynson W. H. Lau Stephen Lin SSL 22 167 0 11 Jun 2020
Leveraging the Feature Distribution in Transfer-based Few-Shot Learning Yuqing Hu Vincent Gripon S. Pateux 20 167 0 06 Jun 2020
Interpretable Time-series Classification on Few-shot Samples Wensi Tang Lu Liu Guodong Long AI4TS 8 20 0 03 Jun 2020
Meta Learning as Bayes Risk Minimization S. Maeda Toshiki Nakanishi Masanori Koyama BDL 23 1 0 02 Jun 2020
Concept Matching for Low-Resource Classification Federico Errica Ludovic Denoyer Bora Edizel Fabio Petroni Vassilis Plachouras Fabrizio Silvestri Sebastian Riedel 16 2 0 01 Jun 2020
High-order structure preserving graph neural network for few-shot learning Guangfeng Lin Ying Yang Y. Fan Xiao-bing Kang Kaiyang Liao Fan Zhao 22 1 0 29 May 2020
TOAN: Target-Oriented Alignment Network for Fine-Grained Image Categorization with Few Labeled Samples Huaxi Huang Junjie Zhang Jian Zhang Qiang Wu Chang Xu 27 55 0 28 May 2020
A Concise Review of Recent Few-shot Meta-learning Methods Xiaoxu Li Z. Sun Jing-Hao Xue Zhanyu Ma VLM OffRL 20 130 0 22 May 2020
Cross-Domain Few-Shot Learning with Meta Fine-Tuning J. Cai S. Shen 26 29 0 21 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 21 14 0 19 May 2020
Feature Transformation Ensemble Model with Batch Spectral Regularization for Cross-Domain Few-Shot Classification Bingyu Liu Z. Zhao Zhenpeng Li Jianan Jiang Yuhong Guo Jieping Ye 18 31 0 18 May 2020
Compositional Few-Shot Recognition with Primitive Discovery and Enhancing Yixiong Zou Shanghang Zhang Ke Chen Yonghong Tian Yaowei Wang J. M. F. Moura 22 25 0 12 May 2020
Target-Independent Domain Adaptation for WBC Classification using Generative Latent Search Prashant Pandey A. Prathosh Vinay Kyatham Deepak Mishra T. R. Dastidar OOD MedIm 28 25 0 11 May 2020
A Comparison of Few-Shot Learning Methods for Underwater Optical and Sonar Image Classification Mateusz Ochal Jose Vazquez Y. Pétillot Sen Wang 48 24 0 10 May 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients S. Hu Pablo G. Moreno Yanghua Xiao Xin Shen G. Obozinski Neil D. Lawrence Andreas C. Damianou BDL 21 125 0 27 Apr 2020
Alleviating the Incompatibility between Cross Entropy Loss and Episode Training for Few-shot Skin Disease Classification Wei-wei Zhu Haofu Liao Wenbin Li Weijian Li Jiebo Luo 42 17 0 21 Apr 2020
OSLNet: Deep Small-Sample Classification with an Orthogonal Softmax Layer Xiaoxu Li Dongliang Chang Zhanyu Ma Zheng-Hua Tan Jing-Hao Xue Jie Cao Jingyi Yu Jun Guo 28 31 0 20 Apr 2020
Meta-Meta Classification for One-Shot Learning Arkabandhu Chowdhury Dipak Chaudhari Swarat Chaudhuri C. Jermaine 20 5 0 17 Apr 2020
Defining Benchmarks for Continual Few-Shot Learning Antreas Antoniou Massimiliano Patacchiola Mateusz Ochal Amos Storkey 8 38 0 15 Apr 2020
Regularizing Meta-Learning via Gradient Dropout Hung-Yu Tseng Yi-Wen Chen Yi-Hsuan Tsai Sifei Liu Yen-Yu Lin Ming-Hsuan Yang 14 34 0 13 Apr 2020
Diversity Helps: Unsupervised Few-shot Learning via Distribution Shift-based Data Augmentation Tiexin Qin Wenbin Li Yinghuan Shi Yang Gao 23 16 0 13 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 76 1,935 0 11 Apr 2020
Orthogonal Over-Parameterized Training Weiyang Liu Rongmei Lin Zhen Liu James M. Rehg Liam Paull Li Xiong Le Song Adrian Weller 32 41 0 09 Apr 2020
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning Lucas May Petry Amílcar Soares Júnior V. Bogorny Bruno Brandoli Stan Matwin 16 26 0 07 Apr 2020
Memory-Efficient Incremental Learning Through Feature Adaptation Ahmet Iscen Jeffrey O. Zhang Svetlana Lazebnik Cordelia Schmid CLL VLM 13 157 0 01 Apr 2020
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition Luming Tang Davis Wertheimer B. Hariharan 22 49 0 01 Apr 2020
Self-Augmentation: Generalizing Deep Networks to Unseen Classes for Few-Shot Learning Jinhwan Seo Hong G Jung Seong-Whan Lee SSL 12 39 0 01 Apr 2020
DPGN: Distribution Propagation Graph Network for Few-shot Learning Ling Yang Liang Li Zilun Zhang Xinyu Zhou Erjin Zhou Yu Liu 23 204 0 31 Mar 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification Bin Liu Yue Cao Yutong Lin Qi Li Zheng-Wei Zhang Mingsheng Long Han Hu 29 317 0 26 Mar 2020
Instance Credibility Inference for Few-Shot Learning Yikai Wang C. Xu Chen Liu Li Zhang Yanwei Fu 24 160 0 26 Mar 2020
CRNet: Cross-Reference Networks for Few-Shot Segmentation Weide Liu Chi Zhang Guosheng Lin Fayao Liu SSeg 160 192 0 24 Mar 2020
Selecting Relevant Features from a Multi-domain Representation for Few-shot Classification Nikita Dvornik Cordelia Schmid Julien Mairal VLM 178 24 0 20 Mar 2020
Domain-Adaptive Few-Shot Learning An Zhao Mingyu Ding Zhiwu Lu Tao Xiang Yulei Niu Jiechao Guan Ji-Rong Wen Ping Luo 28 69 0 19 Mar 2020
Any-Shot Object Detection Shafin Rahman Salman Khan Nick Barnes Fahad Shahbaz Khan ObjD VLM 11 17 0 16 Mar 2020
Frustratingly Simple Few-Shot Object Detection Xin Wang Thomas E. Huang Trevor Darrell Joseph E. Gonzalez Feng Yu ObjD 95 544 0 16 Mar 2020
StarNet: towards Weakly Supervised Few-Shot Object Detection Leonid Karlinsky J. Shtok Amit Alfassy M. Lichtenstein Sivan Harary ... Sivan Doveh P. Sattigeri Rogerio Feris A. Bronstein Raja Giryes 14 6 0 15 Mar 2020
DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learning Chi Zhang Yujun Cai Guosheng Lin Chunhua Shen VLM 26 110 0 15 Mar 2020
TAFSSL: Task-Adaptive Feature Sub-Space Learning for few-shot classification M. Lichtenstein P. Sattigeri Rogerio Feris Raja Giryes Leonid Karlinsky 10 76 0 14 Mar 2020
Incremental Few-Shot Object Detection Juan-Manuel Perez-Rua Xiatian Zhu Timothy M. Hospedales Tao Xiang ObjD CLL 16 218 0 10 Mar 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning Yinbo Chen Zhuang Liu Huijuan Xu Trevor Darrell Xiaolong Wang 175 342 0 09 Mar 2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification Pau Rodríguez I. Laradji Alexandre Drouin Alexandre Lacoste 4 191 0 09 Mar 2020
Meta Cyclical Annealing Schedule: A Simple Approach to Avoiding Meta-Amortization Error Yu-ichi Hayashi Taiji Suzuki 6 0 0 04 Mar 2020
Out-of-Distribution Generalization via Risk Extrapolation (REx) David M. Krueger Ethan Caballero J. Jacobsen Amy Zhang Jonathan Binas Dinghuai Zhang Rémi Le Priol Aaron Courville OOD 215 901 0 02 Mar 2020
Novelty-Prepared Few-Shot Classification Chao Wang Ruofan Liu Han-Jia Ye Yang Yu 30 0 0 01 Mar 2020
Why is the Mahalanobis Distance Effective for Anomaly Detection? Ryo Kamoi Kei Kobayashi OODD 32 59 0 01 Mar 2020
AdarGCN: Adaptive Aggregation GCN for Few-Shot Learning Jianhong Zhang Manli Zhang Zhiwu Lu Tao Xiang Ji-Rong Wen 17 11 0 28 Feb 2020
Few-Shot Learning on Graphs via Super-Classes based on Graph Spectral Measures Jatin Chauhan Deepak Nathani Manohar Kaul 25 69 0 27 Feb 2020