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Learning Dynamic Alignment via Meta-filter for Few-shot Learning

Learning Dynamic Alignment via Meta-filter for Few-shot Learning

25 March 2021
C. Xu
Chen Liu
Li Zhang
Chengjie Wang
Jilin Li
Feiyue Huang
Xiangyang Xue
Yanwei Fu
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Papers citing "Learning Dynamic Alignment via Meta-filter for Few-shot Learning"

15 / 15 papers shown
Title
D$^4$-VTON: Dynamic Semantics Disentangling for Differential Diffusion
  based Virtual Try-On
D4^44-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On
Zhaotong Yang
Zicheng Jiang
Xinzhe Li
Huiyu Zhou
Junyu Dong
Huaidong Zhang
Yong Du
DiffM
27
1
0
21 Jul 2024
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object
  Detection
GRSDet: Learning to Generate Local Reverse Samples for Few-shot Object Detection
Hefei Mei
Taijin Zhao
Shiyuan Tang
Heqian Qiu
Lanxiao Wang
Minjian Zhang
Fanman Meng
Hongliang Li
ObjD
16
1
0
27 Dec 2023
Variational Inference for Longitudinal Data Using Normalizing Flows
Variational Inference for Longitudinal Data Using Normalizing Flows
Clément Chadebec
S. Allassonnière
BDL
DRL
24
1
0
24 Mar 2023
Exploring Efficient Few-shot Adaptation for Vision Transformers
Exploring Efficient Few-shot Adaptation for Vision Transformers
C. Xu
Siqian Yang
Yabiao Wang
Zhanxiong Wang
Yanwei Fu
Xiangyang Xue
22
16
0
06 Jan 2023
BaseTransformers: Attention over base data-points for One Shot Learning
BaseTransformers: Attention over base data-points for One Shot Learning
Mayug Maniparambil
Kevin McGuinness
Noel E. O'Connor
17
3
0
05 Oct 2022
Rethinking Generalization in Few-Shot Classification
Rethinking Generalization in Few-Shot Classification
Markus Hiller
Rongkai Ma
Mehrtash Harandi
Tom Drummond
OCL
VLM
17
55
0
15 Jun 2022
Attribute Surrogates Learning and Spectral Tokens Pooling in
  Transformers for Few-shot Learning
Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning
Yang He
Weihan Liang
Dongyang Zhao
Hong-Yu Zhou
Weifeng Ge
Yizhou Yu
Wenqiang Zhang
ViT
25
45
0
17 Mar 2022
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Adaptive Poincaré Point to Set Distance for Few-Shot Classification
Rongkai Ma
Pengfei Fang
Tom Drummond
Mehrtash Harandi
19
45
0
03 Dec 2021
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
MDFM: Multi-Decision Fusing Model for Few-Shot Learning
Shuai Shao
Lei Xing
Rui Xu
Weifeng Liu
Yanjiang Wang
Baodi Liu
33
30
0
01 Dec 2021
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
MHFC: Multi-Head Feature Collaboration for Few-Shot Learning
Shuai Shao
Lei Xing
Yan Wang
Rui Xu
Chunyan Zhao
Yanjiang Wang
Baodi Liu
30
35
0
16 Sep 2021
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Rectifying the Shortcut Learning of Background for Few-Shot Learning
Xu Luo
Longhui Wei
Liangjiang Wen
Jinrong Yang
Lingxi Xie
Zenglin Xu
Qi Tian
34
86
0
16 Jul 2021
Mixture-based Feature Space Learning for Few-shot Image Classification
Mixture-based Feature Space Learning for Few-shot Image Classification
Arman Afrasiyabi
Jean-François Lalonde
Christian Gagné
VLM
11
70
0
24 Nov 2020
Cross Attention Network for Few-shot Classification
Cross Attention Network for Few-shot Classification
Rui Hou
Hong Chang
Bingpeng Ma
Shiguang Shan
Xilin Chen
202
629
0
17 Oct 2019
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
260
11,677
0
09 Mar 2017
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Z. Tu
Kaiming He
273
10,214
0
16 Nov 2016
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