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What Makes Good Examples for Visual In-Context Learning?

What Makes Good Examples for Visual In-Context Learning?

31 January 2023
Yuanhan Zhang
Kaiyang Zhou
Ziwei Liu
    MLLM
    VPVLM
    VLM
    LRM
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Papers citing "What Makes Good Examples for Visual In-Context Learning?"

36 / 86 papers shown
Title
Data Augmentation using Large Language Models: Data Perspectives,
  Learning Paradigms and Challenges
Data Augmentation using Large Language Models: Data Perspectives, Learning Paradigms and Challenges
Bosheng Ding
Chengwei Qin
Ruochen Zhao
Tianze Luo
Xinze Li
Guizhen Chen
Wenhan Xia
Junjie Hu
A. Luu
Shafiq R. Joty
31
18
0
05 Mar 2024
A Simple Framework Uniting Visual In-context Learning with Masked Image
  Modeling to Improve Ultrasound Segmentation
A Simple Framework Uniting Visual In-context Learning with Masked Image Modeling to Improve Ultrasound Segmentation
Yuyue Zhou
B. Felfeliyan
Shrimanti Ghosh
Jessica Knight
Fatima Alves-Pereira
Christopher Keen
Jessica Küpper
A. Hareendranathan
Jacob L. Jaremko
34
0
0
22 Feb 2024
Tumor segmentation on whole slide images: training or prompting?
Tumor segmentation on whole slide images: training or prompting?
Huaqian Wu
C. B. Martin
Kevin Bouaou
Cédric Clouchoux
VLM
MedIm
24
2
0
21 Feb 2024
Visual In-Context Learning for Large Vision-Language Models
Visual In-Context Learning for Large Vision-Language Models
Yucheng Zhou
Xiang Li
Qianning Wang
Jianbing Shen
MLLM
27
58
0
18 Feb 2024
Can MLLMs Perform Text-to-Image In-Context Learning?
Can MLLMs Perform Text-to-Image In-Context Learning?
Yuchen Zeng
Wonjun Kang
Yicong Chen
Hyung Il Koo
Kangwook Lee
MLLM
33
9
0
02 Feb 2024
The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large
  Language Models
The Curious Case of Nonverbal Abstract Reasoning with Multi-Modal Large Language Models
Kian Ahrabian
Zhivar Sourati
Kexuan Sun
Jiarui Zhang
Yifan Jiang
Fred Morstatter
Jay Pujara
LRM
26
9
0
22 Jan 2024
Low-Resource Vision Challenges for Foundation Models
Low-Resource Vision Challenges for Foundation Models
Yunhua Zhang
Hazel Doughty
Cees G. M. Snoek
VLM
30
5
0
09 Jan 2024
CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update
CLOVA: A Closed-Loop Visual Assistant with Tool Usage and Update
Zhi Gao
Yuntao Du
Xintong Zhang
Xiaojian Ma
Wenjuan Han
Song-Chun Zhu
Qing Li
LLMAG
VLM
28
21
0
18 Dec 2023
Context Matters: Data-Efficient Augmentation of Large Language Models
  for Scientific Applications
Context Matters: Data-Efficient Augmentation of Large Language Models for Scientific Applications
Xiang Li
Haoran Tang
Siyu Chen
Ziwei Wang
Anurag Maravi
Marcin Abram
16
0
0
12 Dec 2023
Cost-Effective In-Context Learning for Entity Resolution: A Design Space
  Exploration
Cost-Effective In-Context Learning for Entity Resolution: A Design Space Exploration
Meihao Fan
Xiaoyue Han
Ju Fan
Chengliang Chai
Nan Tang
Guoliang Li
Xiaoyong Du
29
5
0
07 Dec 2023
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks
Jiarui Xu
Yossi Gandelsman
Amir Bar
Jianwei Yang
Jianfeng Gao
Trevor Darrell
Xiaolong Wang
VLM
21
3
0
04 Dec 2023
Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large
  Language Models
Retrieval-augmented Multi-modal Chain-of-Thoughts Reasoning for Large Language Models
Bingshuai Liu
Chenyang Lyu
Zijun Min
Zhanyu Wang
Jinsong Su
Longyue Wang
LRM
31
7
0
04 Dec 2023
Improving In-Context Learning in Diffusion Models with Visual
  Context-Modulated Prompts
Improving In-Context Learning in Diffusion Models with Visual Context-Modulated Prompts
Tianqi Chen
Yongfei Liu
Zhendong Wang
Jianbo Yuan
Quanzeng You
Hongxia Yang
Mingyuan Zhou
VLM
30
5
0
03 Dec 2023
Instruct Me More! Random Prompting for Visual In-Context Learning
Instruct Me More! Random Prompting for Visual In-Context Learning
Jiahao Zhang
Bowen Wang
Liangzhi Li
Yuta Nakashima
Hajime Nagahara
VLM
30
15
0
07 Nov 2023
Large Language Model for Multi-objective Evolutionary Optimization
Large Language Model for Multi-objective Evolutionary Optimization
Fei Liu
Xi Lin
Zhenkun Wang
Shunyu Yao
Xialiang Tong
Mingxuan Yuan
Qingfu Zhang
19
37
0
19 Oct 2023
Context-Aware Meta-Learning
Context-Aware Meta-Learning
Christopher Fifty
Dennis Duan
Ronald G. Junkins
Ehsan Amid
Jurij Leskovec
Christopher Ré
Sebastian Thrun
LRM
VLM
MLLM
25
10
0
17 Oct 2023
Unifying Image Processing as Visual Prompting Question Answering
Unifying Image Processing as Visual Prompting Question Answering
Yihao Liu
Xiangyu Chen
Xianzheng Ma
Xintao Wang
Jiantao Zhou
Yu Qiao
Chao Dong
MLLM
22
18
0
16 Oct 2023
Visual In-Context Learning for Few-Shot Eczema Segmentation
Visual In-Context Learning for Few-Shot Eczema Segmentation
Monitirtha Dey
S. K. Bhandari
Venugopal Vasudevan
14
1
0
28 Sep 2023
HyPoradise: An Open Baseline for Generative Speech Recognition with
  Large Language Models
HyPoradise: An Open Baseline for Generative Speech Recognition with Large Language Models
Cheng Chen
Yuchen Hu
Chao-Han Huck Yang
Sabato Marco Siniscalchi
Pin-Yu Chen
E. Chng
26
42
0
27 Sep 2023
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient
  Channels
SCT: A Simple Baseline for Parameter-Efficient Fine-Tuning via Salient Channels
Henry Hengyuan Zhao
Pichao Wang
Yuyang Zhao
Hao Luo
F. Wang
Mike Zheng Shou
ViT
34
14
0
15 Sep 2023
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based
  Image Manipulation
ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
Yasheng Sun
Yifan Yang
Houwen Peng
Yifei Shen
Yuqing Yang
Hang-Rui Hu
Lili Qiu
Hideki Koike
DiffM
LM&Ro
37
33
0
02 Aug 2023
Visual Instruction Inversion: Image Editing via Visual Prompting
Visual Instruction Inversion: Image Editing via Visual Prompting
Thao Nguyen
Yuheng Li
Utkarsh Ojha
Yong Jae Lee
DiffM
32
22
0
26 Jul 2023
Explore In-Context Learning for 3D Point Cloud Understanding
Explore In-Context Learning for 3D Point Cloud Understanding
Zhongbin Fang
Xiangtai Li
Xia Li
J. M. Buhmann
Chen Change Loy
Mengyuan Liu
3DPC
25
24
0
14 Jun 2023
Towards In-context Scene Understanding
Towards In-context Scene Understanding
Ivana Balazevic
David Steiner
Nikhil Parthasarathy
Relja Arandjelović
Olivier J. Hénaff
35
28
0
02 Jun 2023
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with
  Knowledge Sparkle Dust
When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust
Minh Le Nguyen
Duy-Hung Nguyen
Shahab Sabahi
Hung Le
Jeffrey Yang
Hajime Hotta
30
1
0
12 May 2023
Visual Tuning
Visual Tuning
Bruce X. B. Yu
Jianlong Chang
Haixin Wang
Lin Liu
Shijie Wang
...
Lingxi Xie
Haojie Li
Zhouchen Lin
Qi Tian
Chang Wen Chen
VLM
46
38
0
10 May 2023
In-Context Learning Unlocked for Diffusion Models
In-Context Learning Unlocked for Diffusion Models
Zhendong Wang
Yi Ding
Yadong Lu
Yelong Shen
Pengcheng He
Weizhu Chen
Zhangyang Wang
Mingyuan Zhou
VLM
DiffM
91
68
0
01 May 2023
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT
Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT
Zhe Xiao
Yuzhong Chen
Lu Zhang
Jun Yao
Zihao Wu
...
Yixuan Yuan
Dinggang Shen
Dajiang Zhu
Tianming Liu
Xi Jiang
VLM
MLLM
63
17
0
29 Apr 2023
Exploring Effective Factors for Improving Visual In-Context Learning
Exploring Effective Factors for Improving Visual In-Context Learning
Yanpeng Sun
Qiang Chen
Jian Wang
Jingdong Wang
Zechao Li
LRM
VLM
43
24
0
10 Apr 2023
A Survey on In-context Learning
A Survey on In-context Learning
Qingxiu Dong
Lei Li
Damai Dai
Ce Zheng
Jingyuan Ma
...
Zhiyong Wu
Baobao Chang
Xu Sun
Lei Li
Zhifang Sui
ReLM
AIMat
20
462
0
31 Dec 2022
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,443
0
11 Nov 2021
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
330
2,267
0
02 Sep 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
280
3,848
0
18 Apr 2021
Zero-Shot Text-to-Image Generation
Zero-Shot Text-to-Image Generation
Aditya A. Ramesh
Mikhail Pavlov
Gabriel Goh
Scott Gray
Chelsea Voss
Alec Radford
Mark Chen
Ilya Sutskever
VLM
255
4,777
0
24 Feb 2021
What Makes Good In-Context Examples for GPT-$3$?
What Makes Good In-Context Examples for GPT-333?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,312
0
17 Jan 2021
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
296
39,198
0
01 Sep 2014
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