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Universal Few-shot Learning of Dense Prediction Tasks with Visual Token
  Matching

Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching

27 March 2023
Donggyun Kim
Jinwoo Kim
Seongwoong Cho
Chong Luo
Seunghoon Hong
    VLM
ArXiv (abs)PDFHTMLGithub (253★)

Papers citing "Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching"

31 / 31 papers shown
Title
Explore In-Context Segmentation via Latent Diffusion Models
Explore In-Context Segmentation via Latent Diffusion Models
Chaoyang Wang
Xiangtai Li
Henghui Ding
Lu Qi
Jiangning Zhang
Yunhai Tong
Chen Change Loy
Shuicheng Yan
DiffM
134
7
0
14 Mar 2024
Self-Support Few-Shot Semantic Segmentation
Self-Support Few-Shot Semantic Segmentation
Qi Fan
Wenjie Pei
Yu-Wing Tai
Chi-Keung Tang
90
146
0
23 Jul 2022
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot
  Segmentation
Cost Aggregation with 4D Convolutional Swin Transformer for Few-Shot Segmentation
Sunghwan Hong
Seokju Cho
Jisu Nam
Stephen Lin
Seung Wook Kim
ViT
81
132
0
22 Jul 2022
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot
  Segmentation
MSANet: Multi-Similarity and Attention Guidance for Boosting Few-Shot Segmentation
Ehtesham Iqbal
Sirojbek Safarov
Seongdeok Bang
50
36
0
20 Jun 2022
Vision Transformer Adapter for Dense Predictions
Vision Transformer Adapter for Dense Predictions
Zhe Chen
Yuchen Duan
Wenhai Wang
Junjun He
Tong Lu
Jifeng Dai
Yu Qiao
132
564
0
17 May 2022
Visual Prompt Tuning
Visual Prompt Tuning
Menglin Jia
Luming Tang
Bor-Chun Chen
Claire Cardie
Serge Belongie
Bharath Hariharan
Ser-Nam Lim
VLMVPVLM
153
1,639
0
23 Mar 2022
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene
  Understanding
InvPT: Inverted Pyramid Multi-task Transformer for Dense Scene Understanding
Hanrong Ye
Dan Xu
ViT
57
88
0
15 Mar 2022
Benchmarking Detection Transfer Learning with Vision Transformers
Benchmarking Detection Transfer Learning with Vision Transformers
Yanghao Li
Saining Xie
Xinlei Chen
Piotr Dollar
Kaiming He
Ross B. Girshick
75
168
0
22 Nov 2021
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based
  Masked Language-models
BitFit: Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
Elad Ben-Zaken
Shauli Ravfogel
Yoav Goldberg
168
1,240
0
18 Jun 2021
BEiT: BERT Pre-Training of Image Transformers
BEiT: BERT Pre-Training of Image Transformers
Hangbo Bao
Li Dong
Songhao Piao
Furu Wei
ViT
281
2,826
0
15 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
579
4,077
0
18 Apr 2021
Hypercorrelation Squeeze for Few-Shot Segmentation
Hypercorrelation Squeeze for Few-Shot Segmentation
Juhong Min
Dahyun Kang
Minsu Cho
86
296
0
04 Apr 2021
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViTMDE
138
1,746
0
24 Mar 2021
Abstraction and Analogy-Making in Artificial Intelligence
Abstraction and Analogy-Making in Artificial Intelligence
Melanie Mitchell
77
167
0
22 Feb 2021
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Dense Contrastive Learning for Self-Supervised Visual Pre-Training
Xinlong Wang
Rufeng Zhang
Chunhua Shen
Tao Kong
Lei Li
SSL
77
686
0
18 Nov 2020
Unsupervised Learning of Dense Visual Representations
Unsupervised Learning of Dense Visual Representations
Pedro H. O. Pinheiro
Amjad Almahairi
Ryan Y. Benmalek
Florian Golemo
Aaron Courville
SSLMDE
100
193
0
11 Nov 2020
FGN: Fully Guided Network for Few-Shot Instance Segmentation
FGN: Fully Guided Network for Few-Shot Instance Segmentation
Zhibo Fan
Jin-Gang Yu
Zhihao Liang
Jiarong Ou
Changxin Gao
Guisong Xia
Yuanqing Li
91
69
0
31 Mar 2020
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Semi-Supervised Semantic Segmentation with Cross-Consistency Training
Yassine Ouali
C´eline Hudelot
Myriam Tami
121
728
0
19 Mar 2020
Frustratingly Simple Few-Shot Object Detection
Frustratingly Simple Few-Shot Object Detection
Xin Wang
Thomas E. Huang
Trevor Darrell
Joseph E. Gonzalez
Feng Yu
ObjD
221
555
0
16 Mar 2020
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment
Kaixin Wang
Jun Hao Liew
Yingtian Zou
Daquan Zhou
Jiashi Feng
VLM
64
1,070
0
18 Aug 2019
Which Tasks Should Be Learned Together in Multi-task Learning?
Which Tasks Should Be Learned Together in Multi-task Learning?
Trevor Scott Standley
Amir Zamir
Dawn Chen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
103
517
0
18 May 2019
Few-shot Object Detection via Feature Reweighting
Few-shot Object Detection via Feature Reweighting
Bingyi Kang
Zhuang Liu
Xin Wang
Feng Yu
Jiashi Feng
Trevor Darrell
ObjDOffRL
94
699
0
05 Dec 2018
One-Shot Instance Segmentation
One-Shot Instance Segmentation
Claudio Michaelis
Ivan Ustyuzhaninov
Matthias Bethge
Alexander S. Ecker
ISeg
93
89
0
28 Nov 2018
Taskonomy: Disentangling Task Transfer Learning
Taskonomy: Disentangling Task Transfer Learning
Amir Zamir
Alexander Sax
Bokui (William) Shen
Leonidas Guibas
Jitendra Malik
Silvio Savarese
126
1,221
0
23 Apr 2018
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
282
9,797
0
25 Oct 2017
One-Shot Learning for Semantic Segmentation
One-Shot Learning for Semantic Segmentation
Amirreza Shaban
Shray Bansal
Ziqiang Liu
Irfan Essa
Byron Boots
SSegVLM
115
704
0
11 Sep 2017
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic
  Segmentation
RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation
Guosheng Lin
Anton Milan
Chunhua Shen
Ian Reid
AI4TSSSeg
261
2,851
0
20 Nov 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
413
10,526
0
21 Jul 2016
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
172
5,037
0
27 Jun 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
373
7,323
0
13 Jun 2016
Predicting Depth, Surface Normals and Semantic Labels with a Common
  Multi-Scale Convolutional Architecture
Predicting Depth, Surface Normals and Semantic Labels with a Common Multi-Scale Convolutional Architecture
David Eigen
Rob Fergus
VLMMDE
209
2,681
0
18 Nov 2014
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