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VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning

VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning

19 March 2024
Yongshuo Zong
Ondrej Bohdal
Timothy M. Hospedales
ArXivPDFHTML

Papers citing "VL-ICL Bench: The Devil in the Details of Multimodal In-Context Learning"

15 / 15 papers shown
Title
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
Vision-Language In-Context Learning Driven Few-Shot Visual Inspection Model
Shiryu Ueno
Yoshikazu Hayashi
Shunsuke Nakatsuka
Yusei Yamada
Hiroaki Aizawa
K. Kato
MLLM
VLM
136
0
0
13 Feb 2025
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning
Nan Xu
Fei Wang
Sheng Zhang
Hoifung Poon
Muhao Chen
79
6
0
01 Jul 2024
Generative Multimodal Models are In-Context Learners
Generative Multimodal Models are In-Context Learners
Quan-Sen Sun
Yufeng Cui
Xiaosong Zhang
Fan Zhang
Qiying Yu
...
Yueze Wang
Yongming Rao
Jingjing Liu
Tiejun Huang
Xinlong Wang
MLLM
LRM
112
265
0
20 Dec 2023
InternLM-XComposer: A Vision-Language Large Model for Advanced
  Text-image Comprehension and Composition
InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition
Pan Zhang
Xiaoyi Wang
Bin Wang
Yuhang Cao
Chao Xu
...
Conghui He
Xingcheng Zhang
Yu Qiao
Da Lin
Jiaqi Wang
MLLM
108
231
0
26 Sep 2023
Images Speak in Images: A Generalist Painter for In-Context Visual
  Learning
Images Speak in Images: A Generalist Painter for In-Context Visual Learning
Xinlong Wang
Wen Wang
Yue Cao
Chunhua Shen
Tiejun Huang
VLM
MLLM
87
249
0
05 Dec 2022
T-NER: An All-Round Python Library for Transformer-based Named Entity
  Recognition
T-NER: An All-Round Python Library for Transformer-based Named Entity Recognition
Asahi Ushio
Jose Camacho-Collados
39
74
0
09 Sep 2022
Flamingo: a Visual Language Model for Few-Shot Learning
Flamingo: a Visual Language Model for Few-Shot Learning
Jean-Baptiste Alayrac
Jeff Donahue
Pauline Luc
Antoine Miech
Iain Barr
...
Mikolaj Binkowski
Ricardo Barreira
Oriol Vinyals
Andrew Zisserman
Karen Simonyan
MLLM
VLM
288
3,458
0
29 Apr 2022
MetaICL: Learning to Learn In Context
MetaICL: Learning to Learn In Context
Sewon Min
M. Lewis
Luke Zettlemoyer
Hannaneh Hajishirzi
LRM
173
483
0
29 Oct 2021
Multimodal Few-Shot Learning with Frozen Language Models
Multimodal Few-Shot Learning with Frozen Language Models
Maria Tsimpoukelli
Jacob Menick
Serkan Cabi
S. M. Ali Eslami
Oriol Vinyals
Felix Hill
MLLM
127
766
0
25 Jun 2021
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped
  scene text
TextOCR: Towards large-scale end-to-end reasoning for arbitrary-shaped scene text
Amanpreet Singh
Guan Pang
Mandy Toh
Jing Huang
Wojciech Galuba
Tal Hassner
44
167
0
12 May 2021
Meta-Learning in Neural Networks: A Survey
Meta-Learning in Neural Networks: A Survey
Timothy M. Hospedales
Antreas Antoniou
P. Micaelli
Amos Storkey
OOD
303
1,950
0
11 Apr 2020
VizWiz Grand Challenge: Answering Visual Questions from Blind People
VizWiz Grand Challenge: Answering Visual Questions from Blind People
Danna Gurari
Qing Li
Abigale Stangl
Anhong Guo
Chi Lin
Kristen Grauman
Jiebo Luo
Jeffrey P. Bigham
CoGe
68
831
0
22 Feb 2018
Learning to Compare: Relation Network for Few-Shot Learning
Learning to Compare: Relation Network for Few-Shot Learning
Flood Sung
Yongxin Yang
Li Zhang
Tao Xiang
Philip Torr
Timothy M. Hospedales
209
4,035
0
16 Nov 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary
  Visual Reasoning
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning
Justin Johnson
B. Hariharan
Laurens van der Maaten
Li Fei-Fei
C. L. Zitnick
Ross B. Girshick
CoGe
280
2,346
0
20 Dec 2016
Matching Networks for One Shot Learning
Matching Networks for One Shot Learning
Oriol Vinyals
Charles Blundell
Timothy Lillicrap
Koray Kavukcuoglu
Daan Wierstra
VLM
297
7,299
0
13 Jun 2016
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