Dynamic Few-Shot Visual Learning without Forgetting

25 April 2018

Papers citing "Dynamic Few-Shot Visual Learning without Forgetting"

29 / 29 papers shown

Title
Diversity-Driven Generative Dataset Distillation Based on Diffusion Model with Self-Adaptive Memory Mingzhuo Li Guang Li Jiafeng Mao Takahiro Ogawa Miki Haseyama DD 115 0 0 26 May 2025
Decoupling Classifier for Boosting Few-shot Object Detection and Instance Segmentation Bin-Bin Gao Xiaochen Chen Z. Huang Congchong Nie Jun Liu Jinxiang Lai Guannan Jiang Xi-Zhao Wang Chengjie Wang 88 28 0 20 May 2025
Robust Weight Imprinting: Insights from Neural Collapse and Proxy-Based Aggregation Justus Westerhoff Golzar Atefi Mario Koddenbrock Alexei Figueroa Alexander Loser Erik Rodner Felix Alexader Gers OffRL 81 0 0 18 Mar 2025
How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning? Yiyi Zhang Ying Zheng Xiaogang Xu Jun Wang SSL 74 4 0 28 Jan 2025
Distilling Long-tailed Datasets Zhenghao Zhao Haoxuan Wang Yuzhang Shang Kai Wang Yan Yan DD 67 3 0 24 Aug 2024
HiLo: A Learning Framework for Generalized Category Discovery Robust to Domain Shifts Hongjun Wang S. Vaze Kai Han 119 4 0 08 Aug 2024
A Comprehensive Review of Few-shot Action Recognition Yuyang Wanyan Xiaoshan Yang Weiming Dong Changsheng Xu VLM 114 3 0 20 Jul 2024
Dataset Distillation in Medical Imaging: A Feasibility Study Muyang Li Can Cui Quan Liu Ruining Deng Tianyuan Yao Marilyn Lionts Yuankai Huo OOD DD 80 2 0 19 Jul 2024
ATOM: Attention Mixer for Efficient Dataset Distillation Samir Khaki A. Sajedi Kai Wang Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis 100 3 0 02 May 2024
Group Distributionally Robust Dataset Distillation with Risk Minimization Saeed Vahidian Mingyu Wang Jianyang Gu Vyacheslav Kungurtsev Wei Jiang Yiran Chen OOD DD 58 6 0 07 Feb 2024
Continual Adversarial Defense Qian Wang Yaoyao Liu Hefei Ling Yingwei Li Qihao Liu Ping Li AAML 83 4 0 15 Dec 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 96 64 0 29 Sep 2023
Pseudo-Labeling Based Practical Semi-Supervised Meta-Training for Few-Shot Learning Xingping Dong Tianran Ouyang Shengcai Liao Bo Du Ling Shao 58 3 0 14 Jul 2022
Low-Shot Learning from Imaginary Data Yu-Xiong Wang Ross B. Girshick M. Hebert Bharath Hariharan VLM 82 676 0 16 Jan 2018
Low-Shot Learning with Imprinted Weights Qi Matthew A. Brown D. Lowe VLM 30 12 0 19 Dec 2017
A Simple Neural Attentive Meta-Learner Nikhil Mishra Mostafa Rohaninejad Xi Chen Pieter Abbeel OOD 53 199 0 11 Jul 2017
Prototypical Networks for Few-shot Learning Jake C. Snell Kevin Swersky R. Zemel 207 8,072 0 15 Mar 2017
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 754 11,793 0 09 Mar 2017
Meta Networks Tsendsuren Munkhdalai Hong-ye Yu GNN AI4CE 79 1,064 0 02 Mar 2017
Cosine Normalization: Using Cosine Similarity Instead of Dot Product in Neural Networks Chunjie Luo Jianfeng Zhan Lei Wang Qiang Yang 47 201 0 20 Feb 2017
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 91 3,713 0 23 Nov 2016
Learning to learn by gradient descent by gradient descent Marcin Andrychowicz Misha Denil Sergio Gomez Colmenarejo Matthew W. Hoffman David Pfau Tom Schaul Brendan Shillingford Nando de Freitas 77 2,000 0 14 Jun 2016
Matching Networks for One Shot Learning Oriol Vinyals Charles Blundell Timothy Lillicrap Koray Kavukcuoglu Daan Wierstra VLM 284 7,286 0 13 Jun 2016
One-shot Learning with Memory-Augmented Neural Networks Adam Santoro Sergey Bartunov M. Botvinick Daan Wierstra Timothy Lillicrap 53 525 0 19 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 1.3K 192,638 0 10 Dec 2015
Deep metric learning using Triplet network Elad Hoffer Nir Ailon SSL DML 133 1,989 0 20 Dec 2014
Going Deeper with Convolutions Christian Szegedy Wei Liu Yangqing Jia P. Sermanet Scott E. Reed Dragomir Anguelov D. Erhan Vincent Vanhoucke Andrew Rabinovich 289 43,511 0 17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition Karen Simonyan Andrew Zisserman FAtt MDE 860 99,991 0 04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.0K 39,383 0 01 Sep 2014