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CoCa: Contrastive Captioners are Image-Text Foundation Models
v1v2 (latest)

CoCa: Contrastive Captioners are Image-Text Foundation Models

4 May 2022
Jiahui Yu
Zirui Wang
Vijay Vasudevan
Legg Yeung
Mojtaba Seyedhosseini
Yonghui Wu
    VLMCLIPOffRL
ArXiv (abs)PDFHTML

Papers citing "CoCa: Contrastive Captioners are Image-Text Foundation Models"

50 / 935 papers shown
Title
Language Model Crossover: Variation through Few-Shot Prompting
Language Model Crossover: Variation through Few-Shot Prompting
Elliot Meyerson
M. Nelson
Herbie Bradley
Adam Gaier
Arash Moradi
Amy K. Hoover
Joel Lehman
VLM
139
92
0
23 Feb 2023
Test-Time Distribution Normalization for Contrastively Learned
  Vision-language Models
Test-Time Distribution Normalization for Contrastively Learned Vision-language Models
Yi Zhou
Juntao Ren
Fengyu Li
Ramin Zabih
Ser-Nam Lim
VLM
98
15
0
22 Feb 2023
Deep Active Learning in the Presence of Label Noise: A Survey
Deep Active Learning in the Presence of Label Noise: A Survey
Moseli Motsóehli
Kyungim Baek
NoLaVLM
74
5
0
22 Feb 2023
Optical Transformers
Optical Transformers
Maxwell G. Anderson
Shifan Ma
Tianyu Wang
Logan G. Wright
Peter L. McMahon
47
23
0
20 Feb 2023
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
Large-scale Multi-Modal Pre-trained Models: A Comprehensive Survey
Tianlin Li
Guangyao Chen
Guangwu Qian
Pengcheng Gao
Xiaoyong Wei
Yaowei Wang
Yonghong Tian
Wen Gao
AI4CEVLM
148
214
0
20 Feb 2023
Few-shot Multimodal Multitask Multilingual Learning
Few-shot Multimodal Multitask Multilingual Learning
Aman Chadha
Vinija Jain
111
0
0
19 Feb 2023
Zero-Shot Anomaly Detection via Batch Normalization
Zero-Shot Anomaly Detection via Batch Normalization
Aodong Li
Chen Qiu
Marius Kloft
Padhraic Smyth
Maja R. Rudolph
Stephan Mandt
145
0
0
15 Feb 2023
Sparse-SignSGD with Majority Vote for Communication-Efficient
  Distributed Learning
Sparse-SignSGD with Majority Vote for Communication-Efficient Distributed Learning
Chanho Park
Namyoon Lee
FedML
54
4
0
15 Feb 2023
Symbolic Discovery of Optimization Algorithms
Symbolic Discovery of Optimization Algorithms
Xiangning Chen
Chen Liang
Da Huang
Esteban Real
Kaiyuan Wang
...
Xuanyi Dong
Thang Luong
Cho-Jui Hsieh
Yifeng Lu
Quoc V. Le
176
381
0
13 Feb 2023
Paparazzi: A Deep Dive into the Capabilities of Language and Vision
  Models for Grounding Viewpoint Descriptions
Paparazzi: A Deep Dive into the Capabilities of Language and Vision Models for Grounding Viewpoint Descriptions
Henrik Voigt
J. Hombeck
M. Meuschke
K. Lawonn
Sina Zarrieß
VLM
87
1
0
13 Feb 2023
Less is More: Selective Layer Finetuning with SubTuning
Less is More: Selective Layer Finetuning with SubTuning
Gal Kaplun
Andrey Gurevich
Tal Swisa
Mazor David
Shai Shalev-Shwartz
Eran Malach
78
9
0
13 Feb 2023
Calibrating a Deep Neural Network with Its Predecessors
Calibrating a Deep Neural Network with Its Predecessors
Linwei Tao
Minjing Dong
Daochang Liu
Changming Sun
Chang Xu
BDLUQCV
60
5
0
13 Feb 2023
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets
Jiang Yang
Sheng Guo
Gangshan Wu
Limin Wang
VLM
58
7
0
13 Feb 2023
NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have
  Good Meme Analysis
NYCU-TWO at Memotion 3: Good Foundation, Good Teacher, then you have Good Meme Analysis
Yu-Chien Tang
Kuang-Da Wang
Ting-Yun Ou
Wenjie Peng
32
2
0
13 Feb 2023
Scaling Vision Transformers to 22 Billion Parameters
Scaling Vision Transformers to 22 Billion Parameters
Mostafa Dehghani
Josip Djolonga
Basil Mustafa
Piotr Padlewski
Jonathan Heek
...
Mario Luvcić
Xiaohua Zhai
Daniel Keysers
Jeremiah Harmsen
N. Houlsby
MLLM
184
613
0
10 Feb 2023
Analyzing Multimodal Objectives Through the Lens of Generative Diffusion
  Guidance
Analyzing Multimodal Objectives Through the Lens of Generative Diffusion Guidance
Chaerin Kong
Nojun Kwak
DiffM
67
2
0
10 Feb 2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot
  Image Captioning
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning
Zhuolin Yang
Ming-Yu Liu
Zihan Liu
V. Korthikanti
Weili Nie
...
Yuke Zhu
Mohammad Shoeybi
Bryan Catanzaro
Chaowei Xiao
Anima Anandkumar
VLMRALM
108
40
0
09 Feb 2023
SimCon Loss with Multiple Views for Text Supervised Semantic
  Segmentation
SimCon Loss with Multiple Views for Text Supervised Semantic Segmentation
Yash J. Patel
Yusheng Xie
Yi Zhu
Srikar Appalaraju
R. Manmatha
75
4
0
07 Feb 2023
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image
  Retrieval
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image Retrieval
Kuniaki Saito
Kihyuk Sohn
Xiang Zhang
Chun-Liang Li
Chen-Yu Lee
Kate Saenko
Tomas Pfister
124
123
0
06 Feb 2023
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided
  by Generative Pretraining
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining
Zekun Qi
Runpei Dong
Guo Fan
Zheng Ge
Xiangyu Zhang
Kaisheng Ma
Li Yi
154
130
0
05 Feb 2023
IC3: Image Captioning by Committee Consensus
IC3: Image Captioning by Committee Consensus
David M. Chan
Austin Myers
Sudheendra Vijayanarasimhan
David A. Ross
John F. Canny
65
18
0
02 Feb 2023
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image
  and Video
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video
Haiyang Xu
Qinghao Ye
Mingshi Yan
Yaya Shi
Jiabo Ye
...
Guohai Xu
Ji Zhang
Songfang Huang
Feiran Huang
Jingren Zhou
MLLMVLMMoE
116
171
0
01 Feb 2023
UPop: Unified and Progressive Pruning for Compressing Vision-Language
  Transformers
UPop: Unified and Progressive Pruning for Compressing Vision-Language Transformers
Dachuan Shi
Chaofan Tao
Ying Jin
Zhendong Yang
Chun Yuan
Jiaqi Wang
VLMViT
116
39
0
31 Jan 2023
The Power of External Memory in Increasing Predictive Model Capacity
The Power of External Memory in Increasing Predictive Model Capacity
Cenk Baykal
D. Cutler
Nishanth Dikkala
Nikhil Ghosh
Rina Panigrahy
Xin Wang
KELM
41
0
0
31 Jan 2023
Alternating Updates for Efficient Transformers
Alternating Updates for Efficient Transformers
Cenk Baykal
D. Cutler
Nishanth Dikkala
Nikhil Ghosh
Rina Panigrahy
Xin Wang
MoE
76
5
0
30 Jan 2023
Advancing Radiograph Representation Learning with Masked Record Modeling
Advancing Radiograph Representation Learning with Masked Record Modeling
Hong-Yu Zhou
Chenyu Lian
Lian-cheng Wang
Yizhou Yu
MedIm
108
59
0
30 Jan 2023
Massively Scaling Heteroscedastic Classifiers
Massively Scaling Heteroscedastic Classifiers
Mark Collier
Rodolphe Jenatton
Basil Mustafa
N. Houlsby
Jesse Berent
E. Kokiopoulou
78
9
0
30 Jan 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLMMLLM
447
4,668
0
30 Jan 2023
ACL-Fig: A Dataset for Scientific Figure Classification
ACL-Fig: A Dataset for Scientific Figure Classification
Zeba Karishma
Shaurya Rohatgi
Kavya S. Puranik
Jian Wu
C. Lee Giles
47
6
0
28 Jan 2023
Neural Additive Models for Location Scale and Shape: A Framework for
  Interpretable Neural Regression Beyond the Mean
Neural Additive Models for Location Scale and Shape: A Framework for Interpretable Neural Regression Beyond the Mean
Anton Thielmann
René-Marcel Kruse
Thomas Kneib
Benjamin Säfken
88
13
0
27 Jan 2023
Discovering and Mitigating Visual Biases through Keyword Explanation
Discovering and Mitigating Visual Biases through Keyword Explanation
Younghyun Kim
Sangwoo Mo
Minkyu Kim
Kyungmin Lee
Jaeho Lee
Jinwoo Shin
150
34
0
26 Jan 2023
Affective Faces for Goal-Driven Dyadic Communication
Affective Faces for Goal-Driven Dyadic Communication
Scott Geng
Revant Teotia
Purva Tendulkar
Sachit Menon
Carl Vondrick
VGen
57
20
0
26 Jan 2023
Masked Autoencoding Does Not Help Natural Language Supervision at Scale
Masked Autoencoding Does Not Help Natural Language Supervision at Scale
Floris Weers
Vaishaal Shankar
Angelos Katharopoulos
Yinfei Yang
Tom Gunter
CLIP
54
5
0
19 Jan 2023
Towards Models that Can See and Read
Towards Models that Can See and Read
Roy Ganz
Oren Nuriel
Aviad Aberdam
Yair Kittenplon
Shai Mazor
Ron Litman
71
13
0
18 Jan 2023
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Learning Customized Visual Models with Retrieval-Augmented Knowledge
Haotian Liu
Kilho Son
Jianwei Yang
Ce Liu
Jianfeng Gao
Yong Jae Lee
Chunyuan Li
VLM
129
56
0
17 Jan 2023
Vision Learners Meet Web Image-Text Pairs
Vision Learners Meet Web Image-Text Pairs
Bingchen Zhao
Quan Cui
Hao Wu
Osamu Yoshie
Cheng Yang
Oisin Mac Aodha
VLM
84
5
0
17 Jan 2023
RILS: Masked Visual Reconstruction in Language Semantic Space
RILS: Masked Visual Reconstruction in Language Semantic Space
Shusheng Yang
Yixiao Ge
Kun Yi
Dian Li
Ying Shan
Xiaohu Qie
Xinggang Wang
CLIP
95
11
0
17 Jan 2023
UATVR: Uncertainty-Adaptive Text-Video Retrieval
UATVR: Uncertainty-Adaptive Text-Video Retrieval
Bo Fang
Wenhao Wu
Chang-rui Liu
Yu Zhou
Yuxin Song
Weiping Wang
Min Yang
Xiang Ji
Jingdong Wang
107
57
0
16 Jan 2023
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with
  Multimodal Models
Multimodality Helps Unimodality: Cross-Modal Few-Shot Learning with Multimodal Models
Zhiqiu Lin
Samuel Yu
Zhiyi Kuang
Deepak Pathak
Deva Ramana
VLM
152
116
0
16 Jan 2023
Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A
  Reproducibility Study
Scene-centric vs. Object-centric Image-Text Cross-modal Retrieval: A Reproducibility Study
Mariya Hendriksen
Svitlana Vakulenko
E. Kuiper
Maarten de Rijke
87
4
0
12 Jan 2023
Toward Building General Foundation Models for Language, Vision, and
  Vision-Language Understanding Tasks
Toward Building General Foundation Models for Language, Vision, and Vision-Language Understanding Tasks
Xinsong Zhang
Yan Zeng
Jipeng Zhang
Hang Li
VLMAI4CELRM
111
17
0
12 Jan 2023
Does progress on ImageNet transfer to real-world datasets?
Does progress on ImageNet transfer to real-world datasets?
Alex Fang
Simon Kornblith
Ludwig Schmidt
VLM
87
38
0
11 Jan 2023
Learning to Exploit Temporal Structure for Biomedical Vision-Language
  Processing
Learning to Exploit Temporal Structure for Biomedical Vision-Language Processing
Shruthi Bannur
Stephanie L. Hyland
Qianchu Liu
Fernando Pérez-García
Maximilian Ilse
...
Maria T. A. Wetscherek
M. Lungren
A. Nori
Javier Alvarez-Valle
Ozan Oktay
87
127
0
11 Jan 2023
Filtering, Distillation, and Hard Negatives for Vision-Language
  Pre-Training
Filtering, Distillation, and Hard Negatives for Vision-Language Pre-Training
Filip Radenovic
Abhimanyu Dubey
Abhishek Kadian
Todor Mihaylov
Simon Vandenhende
Yash J. Patel
Y. Wen
Vignesh Ramanathan
D. Mahajan
VLM
89
86
0
05 Jan 2023
CiT: Curation in Training for Effective Vision-Language Data
CiT: Curation in Training for Effective Vision-Language Data
Hu Xu
Saining Xie
Po-Yao (Bernie) Huang
Licheng Yu
Russ Howes
Gargi Ghosh
Luke Zettlemoyer
Christoph Feichtenhofer
VLMDiffM
64
26
0
05 Jan 2023
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
All in Tokens: Unifying Output Space of Visual Tasks via Soft Token
Jia Ning
Chen Li
Zheng Zhang
Zigang Geng
Qi Dai
Kun He
Han Hu
128
46
0
05 Jan 2023
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance
  Segmentation
Reference Twice: A Simple and Unified Baseline for Few-Shot Instance Segmentation
Yue Han
Jiangning Zhang
Zhucun Xue
Chao Xu
Xintian Shen
Yabiao Wang
Chengjie Wang
Yong Liu
Xiangtai Li
102
17
0
03 Jan 2023
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition
  with Pre-trained Vision-Language Models
Bidirectional Cross-Modal Knowledge Exploration for Video Recognition with Pre-trained Vision-Language Models
Wenhao Wu
Xiaohan Wang
Haipeng Luo
Jingdong Wang
Yi Yang
Wanli Ouyang
174
53
0
31 Dec 2022
FlatENN: Train Flat for Enhanced Fault Tolerance of Quantized Deep
  Neural Networks
FlatENN: Train Flat for Enhanced Fault Tolerance of Quantized Deep Neural Networks
Akul Malhotra
S. Gupta
33
0
0
29 Dec 2022
RevealED: Uncovering Pro-Eating Disorder Content on Twitter Using Deep
  Learning
RevealED: Uncovering Pro-Eating Disorder Content on Twitter Using Deep Learning
J. Feldman
55
0
0
28 Dec 2022
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