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Colorful Image Colorization

Colorful Image Colorization

28 March 2016
Richard Y. Zhang
Phillip Isola
Alexei A. Efros
ArXivPDFHTML

Papers citing "Colorful Image Colorization"

50 / 844 papers shown
Title
Contrasting Contrastive Self-Supervised Representation Learning
  Pipelines
Contrasting Contrastive Self-Supervised Representation Learning Pipelines
Klemen Kotar
Gabriel Ilharco
Ludwig Schmidt
Kiana Ehsani
Roozbeh Mottaghi
SSL
43
46
0
25 Mar 2021
Vectorization and Rasterization: Self-Supervised Learning for Sketch and
  Handwriting
Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting
A. Bhunia
Pinaki Nath Chowdhury
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
Yi-Zhe Song
SSL
20
59
0
25 Mar 2021
A Broad Study on the Transferability of Visual Representations with
  Contrastive Learning
A Broad Study on the Transferability of Visual Representations with Contrastive Learning
Ashraful Islam
Chun-Fu Chen
Yikang Shen
Leonid Karlinsky
Richard J. Radke
Rogerio Feris
SSL
29
112
0
24 Mar 2021
Supporting Clustering with Contrastive Learning
Supporting Clustering with Contrastive Learning
Dejiao Zhang
Feng Nan
Xiaokai Wei
Shang-Wen Li
Henghui Zhu
Kathleen McKeown
Ramesh Nallapati
Andrew O. Arnold
Bing Xiang
SSL
43
197
0
24 Mar 2021
Region Similarity Representation Learning
Region Similarity Representation Learning
Tete Xiao
Colorado Reed
Xiaolong Wang
Kurt Keutzer
Trevor Darrell
VLM
SSL
40
117
0
24 Mar 2021
Characterizing and Improving the Robustness of Self-Supervised Learning
  through Background Augmentations
Characterizing and Improving the Robustness of Self-Supervised Learning through Background Augmentations
Chaitanya K. Ryali
D. Schwab
Ari S. Morcos
SSL
42
9
0
23 Mar 2021
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Self-Supervised Pretraining Improves Self-Supervised Pretraining
Colorado Reed
Xiangyu Yue
Aniruddha Nrusimha
Sayna Ebrahimi
Vivek Vijaykumar
...
Shanghang Zhang
Devin Guillory
Sean L. Metzger
Kurt Keutzer
Trevor Darrell
30
105
0
23 Mar 2021
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely
  Self-supervised Neural Architecture Search
BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
Changlin Li
Tao Tang
Guangrun Wang
Jiefeng Peng
Bing Wang
Xiaodan Liang
Xiaojun Chang
ViT
48
105
0
23 Mar 2021
Unsupervised Two-Stage Anomaly Detection
Unsupervised Two-Stage Anomaly Detection
Yunfei Liu
Chaoqun Zhuang
Feng Lu
39
29
0
22 Mar 2021
Conditional Frechet Inception Distance
Conditional Frechet Inception Distance
Michael Soloveitchik
Tzvi Diskin
E. Morin
A. Wiesel
EGVM
32
33
0
21 Mar 2021
Efficient Visual Pretraining with Contrastive Detection
Efficient Visual Pretraining with Contrastive Detection
Olivier J. Hénaff
Skanda Koppula
Jean-Baptiste Alayrac
Aaron van den Oord
Oriol Vinyals
João Carreira
VLM
SSL
38
162
0
19 Mar 2021
Space-Time Crop & Attend: Improving Cross-modal Video Representation
  Learning
Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning
Mandela Patrick
Yuki M. Asano
Bernie Huang
Ishan Misra
Florian Metze
Joao Henriques
Andrea Vedaldi
AI4TS
31
33
0
18 Mar 2021
Contrastive Learning of Musical Representations
Contrastive Learning of Musical Representations
Janne Spijkervet
J. Burgoyne
36
111
0
17 Mar 2021
SPICE: Semantic Pseudo-labeling for Image Clustering
SPICE: Semantic Pseudo-labeling for Image Clustering
Chuang Niu
Hongming Shan
Ge Wang
VLM
35
145
0
17 Mar 2021
Deeply Unsupervised Patch Re-Identification for Pre-training Object
  Detectors
Deeply Unsupervised Patch Re-Identification for Pre-training Object Detectors
Jian Ding
Enze Xie
Hang Xu
Chenhan Jiang
Zhenguo Li
Ping Luo
Guisong Xia
28
16
0
08 Mar 2021
Boosting Semi-supervised Image Segmentation with Global and Local Mutual
  Information Regularization
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization
Jizong Peng
M. Pedersoli
Christian Desrosiers
SSL
27
21
0
08 Mar 2021
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream
  Data? A Theoretical Analysis
Can Pretext-Based Self-Supervised Learning Be Boosted by Downstream Data? A Theoretical Analysis
Jiaye Teng
Weiran Huang
Haowei He
SSL
29
11
0
05 Mar 2021
Self-supervised Geometric Perception
Self-supervised Geometric Perception
Heng Yang
W. Dong
Luca Carlone
V. Koltun
31
36
0
04 Mar 2021
Exploring Complementary Strengths of Invariant and Equivariant
  Representations for Few-Shot Learning
Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning
Mamshad Nayeem Rizve
Salman Khan
Fahad Shahbaz Khan
M. Shah
41
109
0
01 Mar 2021
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations
Xiang Gao
Wei Hu
Guo-Jun Qi
37
6
0
01 Mar 2021
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural
  Networks via Guided Distribution Calibration
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration
Zhiqiang Shen
Zechun Liu
Jie Qin
Lei Huang
Kwang-Ting Cheng
Marios Savvides
UQCV
SSL
MQ
248
22
0
17 Feb 2021
Self-Supervised Features Improve Open-World Learning
Self-Supervised Features Improve Open-World Learning
A. Dhamija
T. Ahmad
Jonathan Schwan
Mohsen Jafarzadeh
Chunchun Li
Terrance E. Boult
SSL
32
13
0
15 Feb 2021
Understanding Negative Samples in Instance Discriminative
  Self-supervised Representation Learning
Understanding Negative Samples in Instance Discriminative Self-supervised Representation Learning
Kento Nozawa
Issei Sato
SSL
22
43
0
13 Feb 2021
Outdoor inverse rendering from a single image using multiview
  self-supervision
Outdoor inverse rendering from a single image using multiview self-supervision
Ye Yu
W. Smith
SSL
3DV
34
24
0
12 Feb 2021
Colorization Transformer
Colorization Transformer
Manoj Kumar
Dirk Weissenborn
Nal Kalchbrenner
ViT
232
158
0
08 Feb 2021
Deep Reformulated Laplacian Tone Mapping
Deep Reformulated Laplacian Tone Mapping
Jie Yang
Ziyi Liu
Mengchen Lin
Svetlana Yanushkevich
O. Yadid-Pecht
21
10
0
31 Jan 2021
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
Improving Few-Shot Learning with Auxiliary Self-Supervised Pretext Tasks
N. Simard
Guillaume Lagrange
SSL
21
5
0
24 Jan 2021
Pre-training without Natural Images
Pre-training without Natural Images
Hirokatsu Kataoka
Kazushige Okayasu
Asato Matsumoto
Eisuke Yamagata
Ryosuke Yamada
Nakamasa Inoue
Akio Nakamura
Y. Satoh
81
117
0
21 Jan 2021
Exponential Moving Average Normalization for Self-supervised and
  Semi-supervised Learning
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai
Avinash Ravichandran
Subhransu Maji
Charless C. Fowlkes
Zhuowen Tu
Stefano Soatto
41
119
0
21 Jan 2021
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for
  Self-Supervised Learning
Momentum^2 Teacher: Momentum Teacher with Momentum Statistics for Self-Supervised Learning
Zeming Li
Songtao Liu
Jian Sun
51
16
0
19 Jan 2021
SelfMatch: Combining Contrastive Self-Supervision and Consistency for
  Semi-Supervised Learning
SelfMatch: Combining Contrastive Self-Supervision and Consistency for Semi-Supervised Learning
Byoungjip Kim
Jinho Choo
Yeong-Dae Kwon
Seongho Joe
Seungjai Min
Youngjune Gwon
SSL
35
52
0
16 Jan 2021
Big Self-Supervised Models Advance Medical Image Classification
Big Self-Supervised Models Advance Medical Image Classification
Shekoofeh Azizi
Basil Mustafa
Fiona Ryan
Zach Beaver
Jan Freyberg
...
Alan Karthikesalingam
Simon Kornblith
Ting-Li Chen
Vivek Natarajan
Mohammad Norouzi
SSL
48
508
0
13 Jan 2021
Self-Supervised Vessel Enhancement Using Flow-Based Consistencies
Self-Supervised Vessel Enhancement Using Flow-Based Consistencies
Rohit Jena
Sumedha Singla
Kayhan Batmanghelich
30
5
0
13 Jan 2021
SEED: Self-supervised Distillation For Visual Representation
SEED: Self-supervised Distillation For Visual Representation
Zhiyuan Fang
Jianfeng Wang
Lijuan Wang
Lei Zhang
Yezhou Yang
Zicheng Liu
SSL
247
190
0
12 Jan 2021
Contextual colorization and denoising for low-light ultra high
  resolution sequences
Contextual colorization and denoising for low-light ultra high resolution sequences
Nantheera Anantrasirichai
David Bull
DiffM
26
17
0
05 Jan 2021
Transformers in Vision: A Survey
Transformers in Vision: A Survey
Salman Khan
Muzammal Naseer
Munawar Hayat
Syed Waqas Zamir
Fahad Shahbaz Khan
M. Shah
ViT
233
2,434
0
04 Jan 2021
Time-Travel Rephotography
Time-Travel Rephotography
Xuan Luo
X. Zhang
Paul D. Yoo
Ricardo Martín Brualla
Jason Lawrence
S. M. Seitz
41
32
0
22 Dec 2020
Addressing Feature Suppression in Unsupervised Visual Representations
Addressing Feature Suppression in Unsupervised Visual Representations
Tianhong Li
Lijie Fan
Yuan. Yuan
Hao He
Yonglong Tian
Rogerio Feris
Piotr Indyk
Dina Katabi
SSL
38
15
0
17 Dec 2020
ISD: Self-Supervised Learning by Iterative Similarity Distillation
ISD: Self-Supervised Learning by Iterative Similarity Distillation
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Vipin Pillai
Paolo Favaro
Hamed Pirsiavash
SSL
27
44
0
16 Dec 2020
Learning Continuous Image Representation with Local Implicit Image
  Function
Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen
Sifei Liu
Xiaolong Wang
SSL
SupR
CLL
41
664
0
16 Dec 2020
Responsible Disclosure of Generative Models Using Scalable
  Fingerprinting
Responsible Disclosure of Generative Models Using Scalable Fingerprinting
Ning Yu
Vladislav Skripniuk
Dingfan Chen
Larry S. Davis
Mario Fritz
WIGM
52
89
0
16 Dec 2020
Understanding the Behaviour of Contrastive Loss
Understanding the Behaviour of Contrastive Loss
Feng Wang
Huaping Liu
SSL
61
670
0
15 Dec 2020
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
151
250
0
14 Dec 2020
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D
  Human Pose Estimation
Learning Heatmap-Style Jigsaw Puzzles Provides Good Pretraining for 2D Human Pose Estimation
Kun Zhang
Rui Wu
Ping Yao
Kai Deng
Ding Li
Renbiao Liu
Chuanguang Yang
Ge Chen
Min Du
Tianyao Zheng
3DH
15
1
0
13 Dec 2020
InferCode: Self-Supervised Learning of Code Representations by
  Predicting Subtrees
InferCode: Self-Supervised Learning of Code Representations by Predicting Subtrees
Nghi D. Q. Bui
Yijun Yu
Lingxiao Jiang
SSL
44
104
0
13 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
27
123
0
12 Dec 2020
A Comprehensive Study of Deep Video Action Recognition
A Comprehensive Study of Deep Video Action Recognition
Yi Zhu
Xinyu Li
Chunhui Liu
Mohammadreza Zolfaghari
Yuanjun Xiong
Chongruo Wu
Zhi-Li Zhang
Joseph Tighe
R. Manmatha
Mu Li
VLM
AI4TS
38
185
0
11 Dec 2020
Context Matters: Graph-based Self-supervised Representation Learning for
  Medical Images
Context Matters: Graph-based Self-supervised Representation Learning for Medical Images
Li Sun
Ke Yu
Kayhan Batmanghelich
SSL
32
23
0
11 Dec 2020
Contrastive Predictive Coding for Human Activity Recognition
Contrastive Predictive Coding for Human Activity Recognition
H. Haresamudram
Irfan Essa
Thomas Ploetz
32
118
0
09 Dec 2020
CASTing Your Model: Learning to Localize Improves Self-Supervised
  Representations
CASTing Your Model: Learning to Localize Improves Self-Supervised Representations
Ramprasaath R. Selvaraju
Karan Desai
Justin Johnson
Nikhil Naik
SSL
36
79
0
08 Dec 2020
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