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Charting the Right Manifold: Manifold Mixup for Few-shot Learning

IEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2019

28 July 2019

Papers citing "Charting the Right Manifold: Manifold Mixup for Few-shot Learning"

50 / 153 papers shown

Title
Data-Efficient Point Cloud Semantic Segmentation Pipeline for Unimproved Roads Andrew Yarovoi Christopher R. Valenta 3DPC 140 0 0 26 Aug 2025
Few-Shot Learning in Video and 3D Object Detection: A Survey Md Meftahul Ferdaus Kendall N. Niles Joe Tom Mahdi Abdelguerfi Elias Ioup 3DPC 163 1 0 22 Jul 2025
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Qi Xu J. Zhu D. Zhou Hao Chen Wenshu Fan Jiangrong Shen Qiang Zhang 293 0 0 12 May 2025
Unbiased Max-Min Embedding Classification for Transductive Few-Shot Learning: Clustering and Classification Are All You Need Yang Liu Feixiang Liu Jiale Du Xinbo Gao Jungong Han 236 0 0 28 Mar 2025
Multi-Level Correlation Network For Few-Shot Image ClassificationIEEE International Conference on Multimedia and Expo (ICME), 2023 Yunkai Dang Hao Fei Ruihao Zhang Xinliang Zhang Zheng Wang Meijun Sun Donglin Wang 348 3 0 04 Dec 2024
Neuromodulated Meta-Learning Wenwen Qiang Huijie Guo Jingyao Wang Jiangmeng Li Changwen Zheng Hui Xiong Gang Hua 315 1 0 11 Nov 2024
A Feature Generator for Few-Shot LearningAsian Conference on Computer Vision (ACCV), 2024 Heethanjan Kanagalingam Thenukan Pathmanathan Navaneethan Ketheeswaran Mokeeshan Vathanakumar Mohamed Afham Ranga Rodrigo 214 0 0 21 Sep 2024
Efficient and Reliable Vector Similarity Search Using Asymmetric Encoding with NAND-Flash for Many-Class Few-Shot LearningAsia and South Pacific Design Automation Conference (ASP-DAC), 2024 Hao-Wei Chiang Chi-Tse Huang Hsiang-Yun Cheng P. Tseng Ming-Hsiu Lee An-Yeu Wu 118 3 0 12 Sep 2024
A Survey of the Self Supervised Learning Mechanisms for Vision Transformers Asifullah Khan A. Sohail Mustansar Fiaz Mehdi Hassan Tariq Habib Afridi ... Muhammad Zaigham Zaheer Kamran Ali Tangina Sultana Ziaurrehman Tanoli Naeem Akhter 907 11 0 30 Aug 2024
Tiny models from tiny data: Textual and null-text inversion for few-shot distillation Erik Landolsi Fredrik Kahl DiffM 348 1 0 05 Jun 2024
Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text Yuyu Jia Qing Zhou Wei Huang Junyu Gao Qi. Wang VLM 226 2 0 21 May 2024
PEFSL: A deployment Pipeline for Embedded Few-Shot Learning on a FPGA SoC Lucas Grativol Ribeiro Lubin Gauthier Mathieu Léonardon Jérémy Morlier Antoine Lavrard-Meyer Guillaume Muller Virginie Fresse Matthieu Arzel 158 1 0 30 Apr 2024
Meta-Transfer Derm-Diagnosis: Exploring Few-Shot Learning and Transfer Learning for Skin Disease Classification in Long-Tail Distribution Zeynep Özdemir H. Keles Ö. Ö. Tanriöver 181 3 0 25 Apr 2024
Robust Few-Shot Ensemble Learning with Focal Diversity-Based Pruning Selim Furkan Tekin Fatih Ilhan Tiansheng Huang Sihao Hu Ka-Ho Chow Margaret Loper Ling Liu 213 2 0 05 Apr 2024
Dual-View Data Hallucination with Semantic Relation Guidance for Few-Shot Image RecognitionIEEE transactions on multimedia (IEEE TMM), 2024 Hefeng Wu Guangzhi Ye Ziyang Zhou Ling Tian Qing Wang Liang Lin 168 5 0 13 Jan 2024
Few-shot Image Generation via Information Transfer from the Built Geodesic SurfacePattern Recognition (Pattern Recogn.), 2024 Yuexing Han Liheng Ruan Bing Wang 228 3 0 03 Jan 2024
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings Nikhil Mehta Kevin J. Liang Jing Huang Fu-Jen Chu Li Yin Tal Hassner OODD 178 3 0 22 Dec 2023
Simple Semantic-Aided Few-Shot LearningComputer Vision and Pattern Recognition (CVPR), 2023 Hai Zhang Junzhe Xu Shanlin Jiang Zhenan He VLM 274 29 0 30 Nov 2023
Robust Transductive Few-shot Learning via Joint Message Passing and Prototype-based Soft-label Propagation Jiahui Wang Qin Xu Bo Jiang Bin Luo 219 0 0 28 Nov 2023
Cross-Level Distillation and Feature Denoising for Cross-Domain Few-Shot ClassificationInternational Conference on Learning Representations (ICLR), 2023 Hao Zheng Runqi Wang Jianzhuang Liu Asako Kanezaki 165 11 0 04 Nov 2023
Adaptive Anchor Label Propagation for Transductive Few-Shot LearningInternational Conference on Information Photonics (ICIP), 2023 Michalis Lazarou Yannis Avrithis Guangyu Ren Tania Stathaki 132 1 0 30 Oct 2023
LMT: Longitudinal Mixing Training, a Framework to Predict Disease Progression from a Single Image Rachid Zeghlache Pierre-Henri Conze Mostafa EL HABIB DAHO Yi-Hsuan Li Hugo Le Boité ... Pascale Massin B. Cochener Ikram Brahim G. Quellec M. Lamard 250 4 0 16 Oct 2023
Understanding Transfer Learning and Gradient-Based Meta-Learning TechniquesMachine-mediated learning (ML), 2023 Mike Huisman Aske Plaat Jan N. van Rijn MLT 167 11 0 09 Oct 2023
From Channel Bias to Feature Redundancy: Uncovering the "Less is More" Principle in Few-Shot Learning Ji Zhang Xu Luo Lianli Gao Difan Zou Hengtao Shen Jingkuan Song 325 1 0 05 Oct 2023
Logarithm-transform aided Gaussian Sampling for Few-Shot Learning Vaibhav Ganatra 138 3 0 28 Sep 2023
Generalized Few-Shot Point Cloud Segmentation Via Geometric WordsIEEE International Conference on Computer Vision (ICCV), 2023 Yating Xu Conghui Hu Na Zhao Gim Hee Lee 3DPC 186 10 0 20 Sep 2023
Detail Reinforcement Diffusion Model: Augmentation Fine-Grained Visual Categorization in Few-Shot ConditionsIEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), 2023 Tianxu Wu Shuo Ye Shuhuang Chen Qinmu Peng Xinge You DiffM 220 6 0 15 Sep 2023
Prototypes-oriented Transductive Few-shot Learning with Conditional TransportIEEE International Conference on Computer Vision (ICCV), 2023 Long Tian Jing Feng Wenchao Chen Xiaoqiang Chai Liming Wang Xiyang Liu Bo Chen 210 20 0 06 Aug 2023
Few-shot Image Classification based on Gradual Machine Learning Nanway Chen Xianming Kuang Feiyu Liu K. Wang Qun Chen CLL VLM 188 5 0 28 Jul 2023
Task-Oriented Channel Attention for Fine-Grained Few-Shot ClassificationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023 Subeen Lee WonJun Moon Hyun Seok Seong Jae-Pil Heo 201 5 0 28 Jul 2023
DiffKendall: A Novel Approach for Few-Shot Learning with Differentiable Kendall's Rank CorrelationNeural Information Processing Systems (NeurIPS), 2023 Kai Zheng Huishuai Zhang Weiran Huang 183 12 0 28 Jul 2023
Towards Task Sampler Learning for Meta-LearningInternational Journal of Computer Vision (IJCV), 2023 Wenwen Qiang Jingyao Wang Xingzhe Su Changwen Zheng Gang Hua Hui Xiong 354 20 0 18 Jul 2023
LPN: Language-guided Prototypical Network for few-shot classification Kaihui Cheng Chule Yang Xiao Liu Naiyang Guan Zhiyuan Wang 320 1 0 04 Jul 2023
A Hierarchical Bayesian Model for Deep Few-Shot Meta Learning Minyoung Kim Timothy M. Hospedales BDL 152 0 0 16 Jun 2023
Instance-based Max-margin for Practical Few-shot RecognitionComputer Vision and Pattern Recognition (CVPR), 2023 Minghao Fu Kevin Zhu Jianxin Wu 224 6 0 27 May 2023
Infinite Class MixupBritish Machine Vision Conference (BMVC), 2023 Thomas Mensink Pascal Mettes 257 3 0 17 May 2023
Few-shot Classification via Ensemble Learning with Multi-Order StatisticsInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Sai Yang Fan Liu Delong Chen Jun Zhou 130 9 0 30 Apr 2023
Analogy-Forming Transformers for Few-Shot 3D ParsingInternational Conference on Learning Representations (ICLR), 2023 N. Gkanatsios M. Singh Zhaoyuan Fang Shubham Tulsiani Katerina Fragkiadaki 3DPC 3DV 301 2 0 27 Apr 2023
Adaptive manifold for imbalanced transductive few-shot learningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2023 Michalis Lazarou Yannis Avrithis Tania Stathaki 214 7 0 27 Apr 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph RefinementComputer Vision and Pattern Recognition (CVPR), 2023 Hao Zhu Piotr Koniusz 274 57 0 23 Apr 2023
A Closer Look at Few-Shot 3D Point Cloud ClassificationInternational Journal of Computer Vision (IJCV), 2022 Chuangguan Ye Erik Cambria Bo Zhang Tao Chen 3DPC 221 22 0 31 Mar 2023
Supervised Masked Knowledge Distillation for Few-Shot TransformersComputer Vision and Pattern Recognition (CVPR), 2023 Hanxi Lin G. Han Jiawei Ma Shiyuan Huang Xudong Lin Shih-Fu Chang 332 48 0 25 Mar 2023
Hubs and Hyperspheres: Reducing Hubness and Improving Transductive Few-shot Learning with Hyperspherical EmbeddingsComputer Vision and Pattern Recognition (CVPR), 2023 Daniel J. Trosten Rwiddhi Chakraborty Sigurd Løkse Kristoffer Wickstrøm Robert Jenssen Michael C. Kampffmeyer 157 24 0 16 Mar 2023
Sample-efficient Adversarial Imitation LearningJournal of machine learning research (JMLR), 2023 Dahuin Jung Hyungyu Lee Sung-Hoon Yoon SSL 308 2 0 14 Mar 2023
What is Memory? A Homological Perspective Xin Li 163 2 0 07 Mar 2023
ENInst: Enhancing Weakly-supervised Low-shot Instance SegmentationPattern Recognition (Pattern Recogn.), 2023 Moon Ye-Bin D. Choi Y. Kwon Junsik Kim Tae-Hyun Oh ISeg 394 8 0 20 Feb 2023
A Survey of Methods, Challenges and Perspectives in Causality Gaël Gendron Michael Witbrock Gillian Dobbie OOD AI4CE CML 352 13 0 01 Feb 2023
A Closer Look at Few-shot Classification AgainInternational Conference on Machine Learning (ICML), 2023 Xu Luo Hao Wu Ji Zhang Lianli Gao Jing Xu Jingkuan Song 252 70 0 28 Jan 2023
Disambiguation of One-Shot Visual Classification Tasks: A Simplex-Based Approach Yassir Bendou Lucas Drumetz Vincent Gripon G. Lioi Bastien Pasdeloup 205 1 0 16 Jan 2023
P3DC-Shot: Prior-Driven Discrete Data Calibration for Nearest-Neighbor Few-Shot ClassificationImage and Vision Computing (IVC), 2023 Shuang Wang Rui Ma Tieru Wu Yang Cao 241 6 0 02 Jan 2023