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Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

10 July 2017
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
    VLM
ArXivPDFHTML

Papers citing "Revisiting Unreasonable Effectiveness of Data in Deep Learning Era"

50 / 421 papers shown
Title
Multiview Transformers for Video Recognition
Multiview Transformers for Video Recognition
Shen Yan
Xuehan Xiong
Anurag Arnab
Zhichao Lu
Mi Zhang
Chen Sun
Cordelia Schmid
ViT
26
212
0
12 Jan 2022
Multi-Domain Joint Training for Person Re-Identification
Multi-Domain Joint Training for Person Re-Identification
Lu Yang
Lingqiao Liu
Yunlong Wang
Peng Wang
Yanning Zhang
OOD
24
2
0
06 Jan 2022
Vision Transformer for Small-Size Datasets
Vision Transformer for Small-Size Datasets
Seung Hoon Lee
Seunghyun Lee
B. Song
ViT
19
222
0
27 Dec 2021
Structured Semantic Transfer for Multi-Label Recognition with Partial
  Labels
Structured Semantic Transfer for Multi-Label Recognition with Partial Labels
Tianshui Chen
Tao Pu
Hefeng Wu
Yuan Xie
Liang Lin
17
57
0
21 Dec 2021
On Efficient Transformer-Based Image Pre-training for Low-Level Vision
On Efficient Transformer-Based Image Pre-training for Low-Level Vision
Wenbo Li
Xin Lu
Shengju Qian
Jiangbo Lu
Xinming Zhang
Jiaya Jia
ViT
32
83
0
19 Dec 2021
Pre-Training Transformers for Domain Adaptation
Pre-Training Transformers for Domain Adaptation
Burhan Ul Tayyab
Nicholas Chua
ViT
15
2
0
18 Dec 2021
A Simple Single-Scale Vision Transformer for Object Localization and
  Instance Segmentation
A Simple Single-Scale Vision Transformer for Object Localization and Instance Segmentation
Wuyang Chen
Xianzhi Du
Fan Yang
Lucas Beyer
Xiaohua Zhai
...
Huizhong Chen
Jing Li
Xiaodan Song
Zhangyang Wang
Denny Zhou
ViT
29
20
0
17 Dec 2021
Global explainability in aligned image modalities
Global explainability in aligned image modalities
Justin Engelmann
Amos Storkey
Miguel O. Bernabeu
FAtt
27
4
0
17 Dec 2021
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Masked Feature Prediction for Self-Supervised Visual Pre-Training
Chen Wei
Haoqi Fan
Saining Xie
Chaoxia Wu
Alan Yuille
Christoph Feichtenhofer
ViT
88
655
0
16 Dec 2021
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for
  Few-shot Video Classification
MASTAF: A Model-Agnostic Spatio-Temporal Attention Fusion Network for Few-shot Video Classification
Rex Liu
Huan Zhang
Hamed Pirsiavash
Xin Liu
ViT
17
11
0
08 Dec 2021
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
Yongming Rao
Wenliang Zhao
Guangyi Chen
Yansong Tang
Zheng Zhu
Guan Huang
Jie Zhou
Jiwen Lu
VLM
CLIP
94
551
0
02 Dec 2021
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from
  Sparse Inputs
RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs
Michael Niemeyer
Jonathan T. Barron
B. Mildenhall
Mehdi S. M. Sajjadi
Andreas Geiger
Noha Radwan
51
579
0
01 Dec 2021
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic
  Data
Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data
Samarth Mishra
Rameswar Panda
Cheng Perng Phoo
Chun-Fu Chen
Leonid Karlinsky
Kate Saenko
Venkatesh Saligrama
Rogerio Feris
26
33
0
30 Nov 2021
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point
  Modeling
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling
Xumin Yu
Lulu Tang
Yongming Rao
Tiejun Huang
Jie Zhou
Jiwen Lu
3DPC
48
654
0
29 Nov 2021
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
PolyViT: Co-training Vision Transformers on Images, Videos and Audio
Valerii Likhosherstov
Anurag Arnab
K. Choromanski
Mario Lucic
Yi Tay
Adrian Weller
Mostafa Dehghani
ViT
35
73
0
25 Nov 2021
Explainable multiple abnormality classification of chest CT volumes
Explainable multiple abnormality classification of chest CT volumes
R. Draelos
Lawrence Carin
MedIm
26
12
0
24 Nov 2021
Multi-label Iterated Learning for Image Classification with Label
  Ambiguity
Multi-label Iterated Learning for Image Classification with Label Ambiguity
Sai Rajeswar
Pau Rodríguez López
Soumye Singhal
David Vazquez
Aaron C. Courville
VLM
23
30
0
23 Nov 2021
LiT: Zero-Shot Transfer with Locked-image text Tuning
LiT: Zero-Shot Transfer with Locked-image text Tuning
Xiaohua Zhai
Tianlin Li
Basil Mustafa
Andreas Steiner
Daniel Keysers
Alexander Kolesnikov
Lucas Beyer
VLM
48
541
0
15 Nov 2021
A Survey of Visual Transformers
A Survey of Visual Transformers
Yang Liu
Yao Zhang
Yixin Wang
Feng Hou
Jin Yuan
Jiang Tian
Yang Zhang
Zhongchao Shi
Jianping Fan
Zhiqiang He
3DGS
ViT
77
330
0
11 Nov 2021
Are Transformers More Robust Than CNNs?
Are Transformers More Robust Than CNNs?
Yutong Bai
Jieru Mei
Alan Yuille
Cihang Xie
ViT
AAML
192
257
0
10 Nov 2021
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Hybrid BYOL-ViT: Efficient approach to deal with small datasets
Safwen Naimi
Rien van Leeuwen
W. Souidène
S. B. Saoud
SSL
ViT
25
2
0
08 Nov 2021
Data-Centric Engineering: integrating simulation, machine learning and
  statistics. Challenges and Opportunities
Data-Centric Engineering: integrating simulation, machine learning and statistics. Challenges and Opportunities
Indranil Pan
L. Mason
Omar K. Matar
AI4CE
36
45
0
07 Nov 2021
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Are we ready for a new paradigm shift? A Survey on Visual Deep MLP
Ruiyang Liu
Hai-Tao Zheng
Li Tao
Dun Liang
Haitao Zheng
85
97
0
07 Nov 2021
Blending Anti-Aliasing into Vision Transformer
Blending Anti-Aliasing into Vision Transformer
Shengju Qian
Hao Shao
Yi Zhu
Mu Li
Jiaya Jia
26
20
0
28 Oct 2021
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot
  MultiBox Detector
CvT-ASSD: Convolutional vision-Transformer Based Attentive Single Shot MultiBox Detector
Weiqiang Jin
Hang Yu
Xiangfeng Luo
ViT
13
14
0
24 Oct 2021
No One Representation to Rule Them All: Overlapping Features of Training
  Methods
No One Representation to Rule Them All: Overlapping Features of Training Methods
Raphael Gontijo-Lopes
Yann N. Dauphin
E. D. Cubuk
20
60
0
20 Oct 2021
Unsupervised Finetuning
Unsupervised Finetuning
Suichan Li
Dongdong Chen
Yinpeng Chen
Lu Yuan
Lei Zhang
Qi Chu
B. Liu
Nenghai Yu
30
8
0
18 Oct 2021
Self-Supervised Representation Learning: Introduction, Advances and
  Challenges
Self-Supervised Representation Learning: Introduction, Advances and Challenges
Linus Ericsson
Henry Gouk
Chen Change Loy
Timothy M. Hospedales
SSL
OOD
AI4TS
34
273
0
18 Oct 2021
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
ABO: Dataset and Benchmarks for Real-World 3D Object Understanding
Jasmine Collins
Shubham Goel
Kenan Deng
Achleshwar Luthra
Leon L. Xu
...
T. F. Y. Vicente
T. Dideriksen
H. Arora
M. Guillaumin
Jitendra Malik
154
217
0
12 Oct 2021
Rethinking Supervised Pre-training for Better Downstream Transferring
Rethinking Supervised Pre-training for Better Downstream Transferring
Yutong Feng
Jianwen Jiang
Mingqian Tang
R. L. Jin
Yue Gao
SSL
48
39
0
12 Oct 2021
Fine-Grained Adversarial Semi-supervised Learning
Fine-Grained Adversarial Semi-supervised Learning
Daniele Mugnai
F. Pernici
F. Turchini
A. Bimbo
27
8
0
12 Oct 2021
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision
  Datasets from 3D Scans
Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans
Ainaz Eftekhar
Alexander Sax
Roman Bachmann
Jitendra Malik
Amir Zamir
MedIm
33
288
0
11 Oct 2021
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
88
27
0
06 Oct 2021
Exploring the Limits of Large Scale Pre-training
Exploring the Limits of Large Scale Pre-training
Samira Abnar
Mostafa Dehghani
Behnam Neyshabur
Hanie Sedghi
AI4CE
60
114
0
05 Oct 2021
A spatiotemporal machine learning approach to forecasting COVID-19
  incidence at the county level in the USA
A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA
Benjamin Lucas
Behzad Vahedi
M. Karimzadeh
OOD
37
31
0
24 Sep 2021
Survey: Transformer based Video-Language Pre-training
Survey: Transformer based Video-Language Pre-training
Ludan Ruan
Qin Jin
VLM
ViT
72
44
0
21 Sep 2021
Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments
  for Embodied AI
Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments for Embodied AI
Santhosh Kumar Ramakrishnan
Aaron Gokaslan
Erik Wijmans
Oleksandr Maksymets
Alexander Clegg
...
Andrew Westbury
Angel X. Chang
Manolis Savva
Yili Zhao
Dhruv Batra
22
368
0
16 Sep 2021
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient
  Labels for Multi-Label Image Classification
Rethinking Crowdsourcing Annotation: Partial Annotation with Salient Labels for Multi-Label Image Classification
Jianzhe Lin
Tianze Yu
Z. J. Wang
16
10
0
06 Sep 2021
Robust fine-tuning of zero-shot models
Robust fine-tuning of zero-shot models
Mitchell Wortsman
Gabriel Ilharco
Jong Wook Kim
Mike Li
Simon Kornblith
...
Raphael Gontijo-Lopes
Hannaneh Hajishirzi
Ali Farhadi
Hongseok Namkoong
Ludwig Schmidt
VLM
49
689
0
04 Sep 2021
A Battle of Network Structures: An Empirical Study of CNN, Transformer,
  and MLP
A Battle of Network Structures: An Empirical Study of CNN, Transformer, and MLP
Yucheng Zhao
Guangting Wang
Chuanxin Tang
Chong Luo
Wenjun Zeng
Zhengjun Zha
35
69
0
30 Aug 2021
Unsupervised Learning of Deep Features for Music Segmentation
Unsupervised Learning of Deep Features for Music Segmentation
Matthew C. McCallum
SSL
15
39
0
30 Aug 2021
Towards Fine-grained Image Classification with Generative Adversarial
  Networks and Facial Landmark Detection
Towards Fine-grained Image Classification with Generative Adversarial Networks and Facial Landmark Detection
Mahdieh Darvish
Mahsa Pouramini
H. Bahador
ViT
25
5
0
28 Aug 2021
LocTex: Learning Data-Efficient Visual Representations from Localized
  Textual Supervision
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Zhijian Liu
Simon Stent
Jie Li
John Gideon
Song Han
VLM
25
10
0
26 Aug 2021
Multi-Task Self-Training for Learning General Representations
Multi-Task Self-Training for Learning General Representations
Golnaz Ghiasi
Barret Zoph
E. D. Cubuk
Quoc V. Le
Nayeon Lee
SSL
24
100
0
25 Aug 2021
Multi-domain semantic segmentation with overlapping labels
Multi-domain semantic segmentation with overlapping labels
Petra Bevandić
Marin Orsic
Ivan Grubišić
Josip Saric
Sinisa Segvic
33
13
0
25 Aug 2021
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your
  Pre-training Effective?
A Scaling Law for Synthetic-to-Real Transfer: How Much Is Your Pre-training Effective?
Hiroaki Mikami
Kenji Fukumizu
Shogo Murai
Shuji Suzuki
Yuta Kikuchi
Taiji Suzuki
S. Maeda
Kohei Hayashi
40
12
0
25 Aug 2021
Do Vision Transformers See Like Convolutional Neural Networks?
Do Vision Transformers See Like Convolutional Neural Networks?
M. Raghu
Thomas Unterthiner
Simon Kornblith
Chiyuan Zhang
Alexey Dosovitskiy
ViT
67
924
0
19 Aug 2021
MUSIQ: Multi-scale Image Quality Transformer
MUSIQ: Multi-scale Image Quality Transformer
Junjie Ke
Qifei Wang
Yilin Wang
P. Milanfar
Feng Yang
168
624
0
12 Aug 2021
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual
  Representations
Billion-Scale Pretraining with Vision Transformers for Multi-Task Visual Representations
Josh Beal
Hao Wu
Dong Huk Park
Andrew Zhai
Dmitry Kislyuk
ViT
18
29
0
12 Aug 2021
Boosting Weakly Supervised Object Detection via Learning Bounding Box
  Adjusters
Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters
Bowen Dong
Zitong Huang
Yuelin Guo
Qilong Wang
Zhenxing Niu
W. Zuo
13
51
0
03 Aug 2021
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