Multi-level Semantic Feature Augmentation for One-shot Learning

15 April 2018

Papers citing "Multi-level Semantic Feature Augmentation for One-shot Learning"

35 / 35 papers shown

Title
Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning Qi Xu J. Zhu D. Zhou Hao Chen Yong-Jin Liu Jiangrong Shen Qiang Zhang 31 0 0 12 May 2025
Generalization-Enhanced Few-Shot Object Detection in Remote Sensing Hui Lin Nan Li Pengjuan Yao Kexin Dong Yuhan Guo Danfeng Hong Yuhang Zhang Congcong Wen 110 4 0 05 Jan 2025
Integrated Image-Text Based on Semi-supervised Learning for Small Sample Instance Segmentation Ruting Chi Zhiyi Huang Yuexing Han ISeg 35 0 0 21 Oct 2024
Memory-guided Network with Uncertainty-based Feature Augmentation for Few-shot Semantic Segmentation Xinyue Chen Miaojing Shi 44 0 0 01 Jun 2024
PrototypeFormer: Learning to Explore Prototype Relationships for Few-shot Image Classification Feihong He Gang Li Hui Xiong VLM ViT 54 1 0 05 Oct 2023
Multimodal Prototype-Enhanced Network for Few-Shot Action Recognition Xin Ni Yong Liu Hao Wen Yatai Ji Jing Xiao Yujiu Yang 37 9 0 09 Dec 2022
Interpretable Few-shot Learning with Online Attribute Selection M. Zarei Majid Komeili FAtt 35 1 0 16 Nov 2022
KGTN-ens: Few-Shot Image Classification with Knowledge Graph Ensembles Dominik Filipiak A. Fensel A. Filipowska 33 1 0 06 Nov 2022
Query Semantic Reconstruction for Background in Few-Shot Segmentation Haoyan Guan Michael W. Spratling 26 3 0 21 Oct 2022
Adaptive Local-Component-aware Graph Convolutional Network for One-shot Skeleton-based Action Recognition Anqi Zhu Qiuhong Ke Mingming Gong James Bailey 38 21 0 21 Sep 2022
Registration based Few-Shot Anomaly Detection Chaoqin Huang Haoyan Guan Aofan Jiang Ya-Qin Zhang Michael W. Spratling Yanfeng Wang 27 142 0 15 Jul 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 344 0 13 May 2022
GDC- Generalized Distribution Calibration for Few-Shot Learning Shakti Kumar Hussain Zaidi 20 8 0 11 Apr 2022
Few-shot Learning as Cluster-induced Voronoi Diagrams: A Geometric Approach Chunwei Ma Ziyun Huang Mingchen Gao Jinhui Xu 23 4 0 05 Feb 2022
Visual Representation Learning with Self-Supervised Attention for Low-Label High-data Regime Prarthana Bhattacharyya Chenge Li Xiaonan Zhao István Fehérvári Jason Sun ViT 34 2 0 22 Jan 2022
Shaping Visual Representations with Attributes for Few-Shot Recognition Haoxing Chen Huaxiong Li Yaohui Li Chunlin Chen 34 7 0 13 Dec 2021
SEGA: Semantic Guided Attention on Visual Prototype for Few-Shot Learning Fengyuan Yang Ruiping Wang Xilin Chen VLM 39 35 0 08 Nov 2021
MFNet: Multi-class Few-shot Segmentation Network with Pixel-wise Metric Learning Miao Zhang Miaojing Shi Li Li VLM 45 20 0 30 Oct 2021
Multimodality in Meta-Learning: A Comprehensive Survey Yao Ma Shilin Zhao Weixiao Wang Yaoman Li Irwin King 50 53 0 28 Sep 2021
Fine-Grained Few Shot Learning with Foreground Object Transformation Chaofei Wang S. Song Qisen Yang Xiang Li Gao Huang 27 23 0 13 Sep 2021
Prototype Completion for Few-Shot Learning Baoquan Zhang Xutao Li Yunming Ye Shanshan Feng VLM 60 18 0 11 Aug 2021
Dizygotic Conditional Variational AutoEncoder for Multi-Modal and Partial Modality Absent Few-Shot Learning Yi Zhang Sheng Huang Xiao-song Peng Dan Yang 28 9 0 28 Jun 2021
Tensor feature hallucination for few-shot learning Michalis Lazarou Tania Stathaki Yannis Avrithis 27 22 0 09 Jun 2021
Rich Semantics Improve Few-shot Learning Mohamed Afham Salman Khan Muhammad Haris Khan Muzammal Naseer F. Khan VLM 13 24 0 26 Apr 2021
COVID-MTL: Multitask Learning with Shift3D and Random-weighted Loss for Automated Diagnosis and Severity Assessment of COVID-19 Guoqing Bao Huai Chen Tongliang Liu G. Gong Yong Yin Lisheng Wang Xiuying Wang 16 24 0 10 Dec 2020
Dataset Bias in Few-shot Image Recognition Shuqiang Jiang Yaohui Zhu Chenlong Liu Xinhang Song Xiangyang Li Weiqing Min 29 22 0 18 Aug 2020
PointAugment: an Auto-Augmentation Framework for Point Cloud Classification Ruihui Li Xianzhi Li Pheng-Ann Heng Chi-Wing Fu 3DPC 22 145 0 25 Feb 2020
A Kings Ransom for Encryption: Ransomware Classification using Augmented One-Shot Learning and Bayesian Approximation Amir Atapour-Abarghouei Stephen Bonner A. Mcgough 24 7 0 19 Aug 2019
Revisiting Metric Learning for Few-Shot Image Classification Xiaomeng Li Lequan Yu Chi-Wing Fu Meng Fang Pheng-Ann Heng VLM 19 93 0 06 Jul 2019
Image Deformation Meta-Networks for One-Shot Learning Z. Chen Yanwei Fu Yu-xiong Wang Lin Ma Wei Liu M. Hebert 15 217 0 28 May 2019
An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning Yaoyao Liu Bernt Schiele Qianru Sun BDL 30 128 0 17 Apr 2019
Recent Advances in Open Set Recognition: A Survey Chuanxing Geng Sheng-Jun Huang Songcan Chen BDL ObjD 41 756 0 21 Nov 2018
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 192 351 0 12 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 341 11,684 0 09 Mar 2017
A data augmentation methodology for training machine/deep learning gait recognition algorithms Christoforos C. Charalambous Anil A. Bharath CVBM 34 43 0 24 Oct 2016