Self-training for Few-shot Transfer Across Extreme Task Differences

15 October 2020

Papers citing "Self-training for Few-shot Transfer Across Extreme Task Differences"

21 / 21 papers shown

Title
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition Yilong Wang Zilin Gao Qilong Wang Zhaofeng Chen P. Li Q. Hu 80 1 0 28 Nov 2024
Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting Tiange Zhang Qing Cai Feng Gao Lin Qi Junyu Dong 36 1 0 24 Jun 2024
Better Monocular 3D Detectors with LiDAR from the Past Yurong You Cheng Perng Phoo Carlos Diaz-Ruiz Katie Z Luo Wei-Lun Chao Mark E. Campbell B. Hariharan Kilian Q. Weinberger 3DPC 33 1 0 08 Apr 2024
Cross-Domain HAR: Few Shot Transfer Learning for Human Activity Recognition Megha Thukral H. Haresamudram Thomas Ploetz 26 4 0 22 Oct 2023
Adaptive Parametric Prototype Learning for Cross-Domain Few-Shot Classification Marzi Heidari Abdullah Alchihabi Qing En Yuhong Guo VLM 32 0 0 04 Sep 2023
Deep Learning for Cross-Domain Few-Shot Visual Recognition: A Survey Huali Xu Shuaifeng Zhi Shuzhou Sun Vishal M. Patel Li Liu 32 13 0 15 Mar 2023
NeurIPS'22 Cross-Domain MetaDL competition: Design and baseline results Dustin Carrión-Ojeda Hong Chen Adrian El Baz Sergio Escalera Chaoyu Guan Isabelle M Guyon I. Ullah Xin Eric Wang Wenwu Zhu VLM 21 6 0 31 Aug 2022
Dynamic Sub-Cluster-Aware Network for Few-Shot Skin Disease Classification Li Shuhan X. Li Xiaowei Xu Kwang-Ting Cheng 27 6 0 03 Jul 2022
POODLE: Improving Few-shot Learning via Penalizing Out-of-Distribution Samples Duong H. Le Khoi Duc Minh Nguyen Khoi Nguyen Quoc-Huy Tran Rang Nguyen Binh-Son Hua OODD 30 39 0 08 Jun 2022
A Comprehensive Survey of Few-shot Learning: Evolution, Applications, Challenges, and Opportunities Yisheng Song Ting-Yuan Wang S. Mondal J. P. Sahoo SLR 50 343 0 13 May 2022
How to Fine-tune Models with Few Samples: Update, Data Augmentation, and Test-time Augmentation Yujin Kim Jaehoon Oh Sungnyun Kim Se-Young Yun 29 6 0 13 May 2022
Hierarchical Variational Memory for Few-shot Learning Across Domains Yingjun Du Xiantong Zhen Ling Shao Cees G. M. Snoek VLM BDL 38 21 0 15 Dec 2021
Unsupervised Finetuning Suichan Li Dongdong Chen Yinpeng Chen Lu Yuan Lei Zhang Qi Chu B. Liu Nenghai Yu 30 8 0 18 Oct 2021
On the Importance of Firth Bias Reduction in Few-Shot Classification Saba Ghaffari Ehsan Saleh David A. Forsyth Yu-xiong Wang 30 13 0 06 Oct 2021
On the Importance of Distractors for Few-Shot Classification Rajshekhar Das Yu-xiong Wang José M. F. Moura 21 28 0 20 Sep 2021
Dynamic Distillation Network for Cross-Domain Few-Shot Recognition with Unlabeled Data Ashraful Islam Chun-Fu Chen Rameswar Panda Leonid Karlinsky Rogerio Feris Richard J. Radke 28 84 0 14 Jun 2021
Comparing Transfer and Meta Learning Approaches on a Unified Few-Shot Classification Benchmark Vincent Dumoulin N. Houlsby Utku Evci Xiaohua Zhai Ross Goroshin Sylvain Gelly Hugo Larochelle 24 26 0 06 Apr 2021
Cross Attention Network for Few-shot Classification Rui Hou Hong Chang Bingpeng Ma Shiguang Shan Xilin Chen 204 629 0 17 Oct 2019
Confidence Regularized Self-Training Yang Zou Zhiding Yu Xiaofeng Liu B. Kumar Jinsong Wang 230 789 0 26 Aug 2019
Probabilistic Model-Agnostic Meta-Learning Chelsea Finn Kelvin Xu Sergey Levine BDL 167 666 0 07 Jun 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 320 11,681 0 09 Mar 2017