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Unifying Vision-Language Representation Space with Single-tower
  Transformer

Unifying Vision-Language Representation Space with Single-tower Transformer

21 November 2022
Jiho Jang
Chaerin Kong
D. Jeon
Seonhoon Kim
Nojun Kwak
ArXiv (abs)PDFHTML

Papers citing "Unifying Vision-Language Representation Space with Single-tower Transformer"

31 / 31 papers shown
Title
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation
LGD: Leveraging Generative Descriptions for Zero-Shot Referring Image Segmentation
Jiachen Li
Qing Xie
Xiaohan Yu
Hongyun Wang
Jinyu Xu
Yongjian Liu
ObjD
141
0
0
20 Apr 2025
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
Chenhang Cui
An Zhang
Yiyang Zhou
Zhaorun Chen
Gelei Deng
Huaxiu Yao
Tat-Seng Chua
144
7
0
18 Oct 2024
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture
  of Experts
Multimodal Contrastive Learning with LIMoE: the Language-Image Mixture of Experts
Basil Mustafa
C. Riquelme
J. Puigcerver
Rodolphe Jenatton
N. Houlsby
VLMMoE
165
202
0
06 Jun 2022
Vision-Language Pre-Training with Triple Contrastive Learning
Vision-Language Pre-Training with Triple Contrastive Learning
Jinyu Yang
Jiali Duan
Son N. Tran
Yi Xu
Sampath Chanda
Liqun Chen
Belinda Zeng
Trishul Chilimbi
Junzhou Huang
VLM
108
297
0
21 Feb 2022
BLIP: Bootstrapping Language-Image Pre-training for Unified
  Vision-Language Understanding and Generation
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Junnan Li
Dongxu Li
Caiming Xiong
Guosheng Lin
MLLMBDLVLMCLIP
555
4,409
0
28 Jan 2022
SLIP: Self-supervision meets Language-Image Pre-training
SLIP: Self-supervision meets Language-Image Pre-training
Norman Mu
Alexander Kirillov
David Wagner
Saining Xie
VLMCLIP
143
490
0
23 Dec 2021
FLAVA: A Foundational Language And Vision Alignment Model
FLAVA: A Foundational Language And Vision Alignment Model
Amanpreet Singh
Ronghang Hu
Vedanuj Goswami
Guillaume Couairon
Wojciech Galuba
Marcus Rohrbach
Douwe Kiela
CLIPVLM
104
715
0
08 Dec 2021
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception
  for Zero-shot and Few-shot Tasks
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks
Xizhou Zhu
Jinguo Zhu
Hao Li
Xiaoshi Wu
Xiaogang Wang
Hongsheng Li
Xiaohua Wang
Jifeng Dai
112
133
0
02 Dec 2021
Self-Distilled Self-Supervised Representation Learning
Self-Distilled Self-Supervised Representation Learning
Jiho Jang
Seonhoon Kim
Kiyoon Yoo
Chaerin Kong
Jang-Hyun Kim
Nojun Kwak
SSL
68
15
0
25 Nov 2021
Florence: A New Foundation Model for Computer Vision
Florence: A New Foundation Model for Computer Vision
Lu Yuan
Dongdong Chen
Yi-Ling Chen
Noel Codella
Xiyang Dai
...
Zhen Xiao
Jianwei Yang
Michael Zeng
Luowei Zhou
Pengchuan Zhang
VLM
141
908
0
22 Nov 2021
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning
UFO: A UniFied TransfOrmer for Vision-Language Representation Learning
Jianfeng Wang
Xiaowei Hu
Zhe Gan
Zhengyuan Yang
Xiyang Dai
Zicheng Liu
Yumao Lu
Lijuan Wang
ViT
69
57
0
19 Nov 2021
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
ViTTPM
475
7,819
0
11 Nov 2021
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
SimVLM: Simple Visual Language Model Pretraining with Weak Supervision
Zirui Wang
Jiahui Yu
Adams Wei Yu
Zihang Dai
Yulia Tsvetkov
Yuan Cao
VLMMLLM
136
799
0
24 Aug 2021
Align before Fuse: Vision and Language Representation Learning with
  Momentum Distillation
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation
Junnan Li
Ramprasaath R. Selvaraju
Akhilesh Deepak Gotmare
Shafiq Joty
Caiming Xiong
Guosheng Lin
FaML
221
1,972
0
16 Jul 2021
Early Convolutions Help Transformers See Better
Early Convolutions Help Transformers See Better
Tete Xiao
Mannat Singh
Eric Mintun
Trevor Darrell
Piotr Dollár
Ross B. Girshick
55
771
0
28 Jun 2021
Emerging Properties in Self-Supervised Vision Transformers
Emerging Properties in Self-Supervised Vision Transformers
Mathilde Caron
Hugo Touvron
Ishan Misra
Hervé Jégou
Julien Mairal
Piotr Bojanowski
Armand Joulin
708
6,127
0
29 Apr 2021
An Empirical Study of Training Self-Supervised Vision Transformers
An Empirical Study of Training Self-Supervised Vision Transformers
Xinlei Chen
Saining Xie
Kaiming He
ViT
159
1,869
0
05 Apr 2021
Scaling Up Visual and Vision-Language Representation Learning With Noisy
  Text Supervision
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia
Yinfei Yang
Ye Xia
Yi-Ting Chen
Zarana Parekh
Hieu H. Pham
Quoc V. Le
Yun-hsuan Sung
Zhen Li
Tom Duerig
VLMCLIP
459
3,893
0
11 Feb 2021
ViLT: Vision-and-Language Transformer Without Convolution or Region
  Supervision
ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision
Wonjae Kim
Bokyung Son
Ildoo Kim
VLMCLIP
128
1,757
0
05 Feb 2021
UNIMO: Towards Unified-Modal Understanding and Generation via
  Cross-Modal Contrastive Learning
UNIMO: Towards Unified-Modal Understanding and Generation via Cross-Modal Contrastive Learning
Wei Li
Can Gao
Guocheng Niu
Xinyan Xiao
Hao Liu
Jiachen Liu
Hua Wu
Haifeng Wang
107
379
0
31 Dec 2020
Exploring Simple Siamese Representation Learning
Exploring Simple Siamese Representation Learning
Xinlei Chen
Kaiming He
SSL
258
4,072
0
20 Nov 2020
Bootstrap your own latent: A new approach to self-supervised Learning
Bootstrap your own latent: A new approach to self-supervised Learning
Jean-Bastien Grill
Florian Strub
Florent Altché
Corentin Tallec
Pierre Harvey Richemond
...
M. G. Azar
Bilal Piot
Koray Kavukcuoglu
Rémi Munos
Michal Valko
SSL
395
6,837
0
13 Jun 2020
Large-Scale Adversarial Training for Vision-and-Language Representation
  Learning
Large-Scale Adversarial Training for Vision-and-Language Representation Learning
Zhe Gan
Yen-Chun Chen
Linjie Li
Chen Zhu
Yu Cheng
Jingjing Liu
ObjDVLM
76
498
0
11 Jun 2020
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks
Xiujun Li
Xi Yin
Chunyuan Li
Pengchuan Zhang
Xiaowei Hu
...
Houdong Hu
Li Dong
Furu Wei
Yejin Choi
Jianfeng Gao
VLM
135
1,944
0
13 Apr 2020
Momentum Contrast for Unsupervised Visual Representation Learning
Momentum Contrast for Unsupervised Visual Representation Learning
Kaiming He
Haoqi Fan
Yuxin Wu
Saining Xie
Ross B. Girshick
SSL
213
12,124
0
13 Nov 2019
UNITER: UNiversal Image-TExt Representation Learning
UNITER: UNiversal Image-TExt Representation Learning
Yen-Chun Chen
Linjie Li
Licheng Yu
Ahmed El Kholy
Faisal Ahmed
Zhe Gan
Yu Cheng
Jingjing Liu
VLMOT
112
447
0
25 Sep 2019
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
289
9,803
0
25 Oct 2017
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
Priya Goyal
Piotr Dollár
Ross B. Girshick
P. Noordhuis
Lukasz Wesolowski
Aapo Kyrola
Andrew Tulloch
Yangqing Jia
Kaiming He
3DH
128
3,685
0
08 Jun 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
324
20,086
0
07 Oct 2016
SGDR: Stochastic Gradient Descent with Warm Restarts
SGDR: Stochastic Gradient Descent with Warm Restarts
I. Loshchilov
Frank Hutter
ODL
350
8,174
0
13 Aug 2016
One weird trick for parallelizing convolutional neural networks
One weird trick for parallelizing convolutional neural networks
A. Krizhevsky
GNN
93
1,303
0
23 Apr 2014
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