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Few-Shot Learning Meets Transformer: Unified Query-Support Transformers
  for Few-Shot Classification

Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification

26 August 2022
Xixi Wang
Xiao Wang
Bo Jiang
Bin Luo
ArXivPDFHTML

Papers citing "Few-Shot Learning Meets Transformer: Unified Query-Support Transformers for Few-Shot Classification"

10 / 10 papers shown
Title
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Enhancing Few-Shot Image Classification through Learnable Multi-Scale Embedding and Attention Mechanisms
Fatemeh Askari
Amirreza Fateh
Mohammad Reza Mohammadi
67
3
0
17 Jan 2025
TAMT: Temporal-Aware Model Tuning for Cross-Domain Few-Shot Action Recognition
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
LPN: Language-guided Prototypical Network for few-shot classification
LPN: Language-guided Prototypical Network for few-shot classification
Kaihui Cheng
Chule Yang
Xiao Liu
Naiyang Guan
Zhiyuan Wang
30
0
0
04 Jul 2023
TransReID: Transformer-based Object Re-Identification
TransReID: Transformer-based Object Re-Identification
Shuting He
Haowen Luo
Pichao Wang
F. Wang
Hao Li
Wei Jiang
ViT
213
788
0
08 Feb 2021
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
201
328
0
22 Jul 2020
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen
Zhuang Liu
Huijuan Xu
Trevor Darrell
Xiaolong Wang
158
339
0
09 Mar 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
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
170
639
0
19 Sep 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
243
11,659
0
09 Mar 2017
ImageNet Large Scale Visual Recognition Challenge
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
282
39,170
0
01 Sep 2014
1