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Learning to Self-Train for Semi-Supervised Few-Shot Classification

3 June 2019

Shibao Zheng

Bernt Schiele

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Papers citing "Learning to Self-Train for Semi-Supervised Few-Shot Classification"

50 / 127 papers shown

Title
CVOCSemRPL: Class-Variance Optimized Clustering, Semantic Information Injection and Restricted Pseudo Labeling based Improved Semi-Supervised Few-Shot Learning Rhythm Baghel Souvik Maji Pratik Mazumder 131 0 0 24 Jan 2025
Improving 3D Few-Shot Segmentation with Inference-Time Pseudo-Labeling Mohammad Mozafari Hosein Hasani Reza Vahidimajd Mohamadreza Fereydooni M. Baghshah 77 0 0 13 Oct 2024
Label-Efficient Semantic Segmentation of LiDAR Point Clouds in Adverse Weather Conditions Aldi Piroli Vinzenz Dallabetta Johannes Kopp M. Walessa D. Meissner Klaus C. J. Dietmayer 82 5 0 14 Jun 2024
Discriminative Sample-Guided and Parameter-Efficient Feature Space Adaptation for Cross-Domain Few-Shot Learning Rashindrie Perera Saman K. Halgamuge 99 2 0 07 Mar 2024
Semi-supervised Open-World Object Detection Sahal Shaji Mullappilly Abhishek Singh Gehlot Rao Muhammad Anwer Fahad Shahbaz Khan Hisham Cholakkal 77 6 0 25 Feb 2024
Meta Co-Training: Two Views are Better than One Jay C. Rothenberger Dimitrios I. Diochnos VLM 168 3 0 29 Nov 2023
From Wrong To Right: A Recursive Approach Towards Vision-Language Explanation Jiaxin Ge Sanjay Subramanian Trevor Darrell Boyi Li LRM 104 4 0 21 Nov 2023
Context-Aware Meta-Learning Christopher Fifty Dennis Duan Ronald G. Junkins Ehsan Amid Jurij Leskovec Christopher Ré Sebastian Thrun LRM VLM MLLM 86 12 0 17 Oct 2023
A Systematic Review of Few-Shot Learning in Medical Imaging Eva Pachetti Sara Colantonio 108 23 0 20 Sep 2023
Text-to-feature diffusion for audio-visual few-shot learning Otniel-Bogdan Mercea Thomas Hummel A. Sophia Koepke Zeynep Akata VLM 84 2 0 07 Sep 2023
SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels Han Yang Tianyu Wang Xiao Hu Chi-Wing Fu NoLa 105 14 0 23 Aug 2023
Transductive Few-shot Learning with Prototype-based Label Propagation by Iterative Graph Refinement Hao Zhu Piotr Koniusz 111 41 0 23 Apr 2023
CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation Thanh-Dat Truong C. Duong Pierce Helton Ashley Dowling Xin Li Khoa Luu 68 1 0 14 Apr 2023
Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation Xinyue Huo Lingxi Xie Wen-gang Zhou Houqiang Li Qi Tian 82 8 0 16 Mar 2023
Towards Label-Efficient Incremental Learning: A Survey Mert Kilickaya Joost van de Weijer Yuki M. Asano CLL 94 4 0 01 Feb 2023
HyRSM++: Hybrid Relation Guided Temporal Set Matching for Few-shot Action Recognition Xiang Wang Shiwei Zhang Zhiwu Qing Zhe Zuo Changxin Gao Rong Jin Nong Sang 105 26 0 09 Jan 2023
Few-shot Node Classification with Extremely Weak Supervision Song Wang Yushun Dong Kaize Ding Chen Chen Jundong Li 81 20 0 06 Jan 2023
Learning to Detect Noisy Labels Using Model-Based Features Zhihao Wang Zongyu Lin Peiqi Liu Guidong Zheng Jun-Hao Wen Xianxin Chen Yujun Chen Zhilin Yang NoLa 64 3 0 28 Dec 2022
PatchMix Augmentation to Identify Causal Features in Few-shot Learning C. Xu Chen Liu Xinwei Sun Siqian Yang Yabiao Wang Chengjie Wang Yanwei Fu 62 17 0 29 Nov 2022
Towards Understanding GD with Hard and Conjugate Pseudo-labels for Test-Time Adaptation Jun-Kun Wang Andre Wibisono 110 9 0 18 Oct 2022
Few-Shot Visual Question Generation: A Novel Task and Benchmark Datasets Anurag Roy David Johnson Ekka Saptarshi Ghosh Abir Das 62 1 0 13 Oct 2022
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning Xiu-Shen Wei Hesheng Xu Faen Zhang Yuxin Peng Wei Zhou 83 16 0 28 Sep 2022
Rethinking Clustering-Based Pseudo-Labeling for Unsupervised Meta-Learning Xingping Dong Jianbing Shen Ling Shao 74 9 0 27 Sep 2022
Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions Zhenyi Wang Li Shen Le Fang Qiuling Suo Dongling Zhan Tiehang Duan Mingchen Gao OOD CLL 66 16 0 03 Sep 2022
Class-Specific Channel Attention for Few-Shot Learning Ying-Cong Chen J. Hsieh Ming-Ching Chang 94 0 0 03 Sep 2022
Label-Efficient Self-Training for Attribute Extraction from Semi-Structured Web Documents Ritesh Sarkhel Binxuan Huang Colin Lockard Prashant Shiralkar 61 2 0 27 Aug 2022
Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification Xixi Wang Tianlin Li Bo Jiang Bin Luo 116 46 0 26 Aug 2022
General-to-Specific Transfer Labeling for Domain Adaptable Keyphrase Generation Rui Meng Tong Wang Xingdi Yuan Yingbo Zhou Daqing He 70 6 0 20 Aug 2022
Cross-Domain Few-Shot Classification via Inter-Source Stylization Huali Xu Shuaifeng Zhi Li Liu 104 4 0 17 Aug 2022
Test-Time Adaptation via Conjugate Pseudo-labels Sachin Goyal Mingjie Sun Aditi Raghunathan Zico Kolter OOD 88 102 0 20 Jul 2022
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 103 6 0 14 Jul 2022
Penalizing Proposals using Classifiers for Semi-Supervised Object Detection S. Hazra P. Dasgupta 77 0 0 26 May 2022
The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training Gi-Cheon Kang Sungdong Kim Jin-Hwa Kim Donghyun Kwak Byoung-Tak Zhang 99 10 0 25 May 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 128 391 0 13 May 2022
Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference S. Hu Da Li Jan Stuhmer Minyoung Kim Timothy M. Hospedales 92 197 0 15 Apr 2022
Dense Learning based Semi-Supervised Object Detection Binghui Chen Pengyu Li Xiang Chen Biao Wang Lei Zhang Xia Hua ObjD 81 65 0 15 Apr 2022
Powering Finetuning in Few-Shot Learning: Domain-Agnostic Bias Reduction with Selected Sampling R. Tao Han Zhang Yutong Zheng Marios Savvides 78 20 0 07 Apr 2022
Domain-Agnostic Prior for Transfer Semantic Segmentation Xinyue Huo Lingxi Xie Hengtong Hu Wen-gang Zhou Houqiang Li Qi Tian 109 29 0 06 Apr 2022
GCT: Graph Co-Training for Semi-Supervised Few-Shot Learning Rui Xu Lei Xing Shuai Shao Lifei Zhao Baodi Liu Weifeng Liu Yicong Zhou 104 23 0 15 Mar 2022
Learning from Few Examples: A Summary of Approaches to Few-Shot Learning Archit Parnami Minwoo Lee MQ 114 168 0 07 Mar 2022
A Semi-supervised Learning Approach with Two Teachers to Improve Breakdown Identification in Dialogues Qian Lin Hwee Tou Ng 73 4 0 22 Feb 2022
AI can evolve without labels: self-evolving vision transformer for chest X-ray diagnosis through knowledge distillation S. Park Gwanghyun Kim Y. Oh J. Seo Sang Min Lee Jin Hwan Kim Sungjun Moon Jae-Kwang Lim Changhyun Park Jong Chul Ye ViT MedIm 83 51 0 13 Feb 2022
LST: Lexicon-Guided Self-Training for Few-Shot Text Classification Hazel Kim Jaeman Son Yo-Sub Han 53 3 0 05 Feb 2022
PLATINUM: Semi-Supervised Model Agnostic Meta-Learning using Submodular Mutual Information Changbin Li Suraj Kothawade F. Chen Rishabh K. Iyer 70 4 0 30 Jan 2022
Motion Prediction via Joint Dependency Modeling in Phase Space Pengxiang Su Zhenguang Liu Shuang Wu Lei Zhu Yifang Yin Xuanjing Shen 72 30 0 07 Jan 2022
Dual Path Structural Contrastive Embeddings for Learning Novel Objects Bingbin Li E. Cui Yanan Li Donghui Wang Weng Kee Wong 49 1 0 23 Dec 2021
Label Hallucination for Few-Shot Classification Yiren Jian Lorenzo Torresani 83 42 0 06 Dec 2021
LOGEN: Few-shot Logical Knowledge-Conditioned Text Generation with Self-training Shumin Deng Jiacheng Yang Hongbin Ye Chuanqi Tan Mosha Chen Songfang Huang Fei Huang Huajun Chen Ningyu Zhang 81 7 0 02 Dec 2021
Extract Free Dense Labels from CLIP Chong Zhou Chen Change Loy Bo Dai VLM CLIP 214 483 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