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Like Humans to Few-Shot Learning through Knowledge Permeation of Vision
  and Text

Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text

21 May 2024
Yuyu Jia
Qing Zhou
Wei Huang
Junyu Gao
Qi. Wang
    VLM
ArXivPDFHTML

Papers citing "Like Humans to Few-Shot Learning through Knowledge Permeation of Vision and Text"

7 / 7 papers shown
Title
Few-Shot Classification with Contrastive Learning
Few-Shot Classification with Contrastive Learning
Zhanyuan Yang
Jinghua Wang
Ying J. Zhu
OODD
MQ
42
55
0
17 Sep 2022
Learning to Prompt for Vision-Language Models
Learning to Prompt for Vision-Language Models
Kaiyang Zhou
Jingkang Yang
Chen Change Loy
Ziwei Liu
VPVLM
CLIP
VLM
325
2,263
0
02 Sep 2021
MLP-Mixer: An all-MLP Architecture for Vision
MLP-Mixer: An all-MLP Architecture for Vision
Ilya O. Tolstikhin
N. Houlsby
Alexander Kolesnikov
Lucas Beyer
Xiaohua Zhai
...
Andreas Steiner
Daniel Keysers
Jakob Uszkoreit
Mario Lucic
Alexey Dosovitskiy
271
2,603
0
04 May 2021
Visformer: The Vision-friendly Transformer
Visformer: The Vision-friendly Transformer
Zhengsu Chen
Lingxi Xie
Jianwei Niu
Xuefeng Liu
Longhui Wei
Qi Tian
ViT
111
209
0
26 Apr 2021
CrossTransformers: spatially-aware few-shot transfer
CrossTransformers: spatially-aware few-shot transfer
Carl Doersch
Ankush Gupta
Andrew Zisserman
ViT
201
330
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
166
340
0
09 Mar 2020
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
317
11,681
0
09 Mar 2017
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