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TIPS: Text-Image Pretraining with Spatial awareness

TIPS: Text-Image Pretraining with Spatial awareness

21 October 2024
Kevis-Kokitsi Maninis
Kaifeng Chen
Soham Ghosh
Arjun Karpur
Koert Chen
Ye Xia
Bingyi Cao
Daniel M. Salz
Guangxing Han
Jan Dlabal
Dan Gnanapragasam
Mojtaba Seyedhosseini
Howard Zhou
Andre Araujo
    VLM
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Papers citing "TIPS: Text-Image Pretraining with Spatial awareness"

22 / 72 papers shown
Title
Vision Transformers for Dense Prediction
Vision Transformers for Dense Prediction
René Ranftl
Alexey Bochkovskiy
V. Koltun
ViT
MDE
136
1,734
0
24 Mar 2021
Learning Transferable Visual Models From Natural Language Supervision
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford
Jong Wook Kim
Chris Hallacy
Aditya A. Ramesh
Gabriel Goh
...
Amanda Askell
Pamela Mishkin
Jack Clark
Gretchen Krueger
Ilya Sutskever
CLIP
VLM
929
29,436
0
26 Feb 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
VLM
CLIP
443
3,856
0
11 Feb 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
654
41,103
0
22 Oct 2020
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image
  Classification
RP2K: A Large-Scale Retail Product Dataset for Fine-Grained Image Classification
Jingtian Peng
Chang Xiao
Yifan Li
28
45
0
22 Jun 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
371
6,806
0
13 Jun 2020
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for
  Instance-Level Recognition and Retrieval
Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval
Tobias Weyand
A. Araújo
Bingyi Cao
Jack Sim
78
369
0
03 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
369
18,778
0
13 Feb 2020
GLU Variants Improve Transformer
GLU Variants Improve Transformer
Noam M. Shazeer
126
1,001
0
12 Feb 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
201
12,085
0
13 Nov 2019
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data
Guillaume Wenzek
Marie-Anne Lachaux
Alexis Conneau
Vishrav Chaudhary
Francisco Guzmán
Armand Joulin
Edouard Grave
86
655
0
01 Nov 2019
Representation Learning with Contrastive Predictive Coding
Representation Learning with Contrastive Predictive Coding
Aaron van den Oord
Yazhe Li
Oriol Vinyals
DRL
SSL
320
10,302
0
10 Jul 2018
Exploring the Limits of Weakly Supervised Pretraining
Exploring the Limits of Weakly Supervised Pretraining
D. Mahajan
Ross B. Girshick
Vignesh Ramanathan
Kaiming He
Manohar Paluri
Yixuan Li
Ashwin R. Bharambe
Laurens van der Maaten
VLM
185
1,368
0
02 May 2018
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost
Noam M. Shazeer
Mitchell Stern
ODL
76
1,048
0
11 Apr 2018
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic
  Imagery
Cross-Domain Self-supervised Multi-task Feature Learning using Synthetic Imagery
Zhongzheng Ren
Yong Jae Lee
SSL
OOD
82
212
0
24 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
701
131,652
0
12 Jun 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
Deep Metric Learning via Lifted Structured Feature Embedding
Deep Metric Learning via Lifted Structured Feature Embedding
Hyun Oh Song
Yu Xiang
Stefanie Jegelka
Silvio Savarese
FedML
SSL
DML
94
1,643
0
19 Nov 2015
Learning Visual Features from Large Weakly Supervised Data
Learning Visual Features from Large Weakly Supervised Data
Armand Joulin
Laurens van der Maaten
Allan Jabri
Nicolas Vasilache
SSL
105
406
0
06 Nov 2015
Microsoft COCO Captions: Data Collection and Evaluation Server
Microsoft COCO Captions: Data Collection and Evaluation Server
Xinlei Chen
Hao Fang
Nayeon Lee
Ramakrishna Vedantam
Saurabh Gupta
Piotr Dollar
C. L. Zitnick
215
2,478
0
01 Apr 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
362
19,660
0
09 Mar 2015
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
1.7K
39,547
0
01 Sep 2014
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