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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 / 843 papers shown
Title
A Survey of Self-Supervised and Few-Shot Object Detection
A Survey of Self-Supervised and Few-Shot Object Detection
Gabriel Huang
I. Laradji
David Vazquez
Simon Lacoste-Julien
Pau Rodríguez López
ObjD
32
79
0
27 Oct 2021
Image Quality Assessment using Contrastive Learning
Image Quality Assessment using Contrastive Learning
Pavan C. Madhusudana
N. Birkbeck
Yilin Wang
Balu Adsumilli
A. Bovik
SSL
16
163
0
25 Oct 2021
Self-Supervised Visual Representation Learning Using Lightweight
  Architectures
Self-Supervised Visual Representation Learning Using Lightweight Architectures
Prathamesh Sonawane
Sparsh Drolia
Saqib Nizam Shamsi
Bhargav Jain
SSL
17
1
0
21 Oct 2021
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image
  Translation
A Domain Gap Aware Generative Adversarial Network for Multi-domain Image Translation
Wenju Xu
Guanghui Wang
45
14
0
21 Oct 2021
Constrained Mean Shift for Representation Learning
Constrained Mean Shift for Representation Learning
Ajinkya Tejankar
Soroush Abbasi Koohpayegani
Hamed Pirsiavash
SSL
45
0
0
19 Oct 2021
Learning Rich Nearest Neighbor Representations from Self-supervised
  Ensembles
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles
Bram Wallace
Devansh Arpit
Huan Wang
Caiming Xiong
SSL
OOD
32
0
0
19 Oct 2021
Surrogate- and invariance-boosted contrastive learning for data-scarce
  applications in science
Surrogate- and invariance-boosted contrastive learning for data-scarce applications in science
Charlotte Loh
T. Christensen
Rumen Dangovski
Samuel Kim
Marin Soljacic
34
17
0
15 Oct 2021
Self-Supervised Learning by Estimating Twin Class Distributions
Self-Supervised Learning by Estimating Twin Class Distributions
Feng Wang
Tao Kong
Rufeng Zhang
Huaping Liu
Hang Li
SSL
60
18
0
14 Oct 2021
The Impact of Spatiotemporal Augmentations on Self-Supervised
  Audiovisual Representation Learning
The Impact of Spatiotemporal Augmentations on Self-Supervised Audiovisual Representation Learning
Haider Al-Tahan
Y. Mohsenzadeh
SSL
AI4TS
34
0
0
13 Oct 2021
Decoupled Contrastive Learning
Decoupled Contrastive Learning
Chun-Hsiao Yeh
Cheng-Yao Hong
Yen-Chi Hsu
Tyng-Luh Liu
Yubei Chen
Yann LeCun
183
183
0
13 Oct 2021
Vit-GAN: Image-to-image Translation with Vision Transformes and
  Conditional GANS
Vit-GAN: Image-to-image Translation with Vision Transformes and Conditional GANS
Yigit Gündüç
ViT
32
3
0
11 Oct 2021
Digging Into Self-Supervised Learning of Feature Descriptors
Digging Into Self-Supervised Learning of Feature Descriptors
Iaroslav Melekhov
Zakaria Laskar
Xiaotian Li
Shuzhe Wang
Arno Solin
SSL
45
8
0
10 Oct 2021
Weakly Supervised Contrastive Learning
Weakly Supervised Contrastive Learning
Mingkai Zheng
Fei Wang
Shan You
Chao Qian
Changshui Zhang
Xiaogang Wang
Chang Xu
SSL
45
121
0
10 Oct 2021
Improving Fractal Pre-training
Improving Fractal Pre-training
Connor Anderson
Ryan Farrell
90
27
0
06 Oct 2021
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher
  Framework
Spatial Ensemble: a Novel Model Smoothing Mechanism for Student-Teacher Framework
Tengteng Huang
Yifan Sun
Xun Wang
Haotian Yao
Chi Zhang
20
3
0
04 Oct 2021
Consistent Explanations by Contrastive Learning
Consistent Explanations by Contrastive Learning
Vipin Pillai
Soroush Abbasi Koohpayegani
Ashley Ouligian
Dennis Fong
Hamed Pirsiavash
FAtt
20
21
0
01 Oct 2021
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned
  Meta-Adaptation
Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation
Jay Patravali
Gaurav Mittal
Ye Yu
Fuxin Li
Mei Chen
18
19
0
30 Sep 2021
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art
  Black-Box Attacks
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
Kaleel Mahmood
Rigel Mahmood
Ethan Rathbun
Marten van Dijk
AAML
19
22
0
29 Sep 2021
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised
  Person Re-Id
Hybrid Dynamic Contrast and Probability Distillation for Unsupervised Person Re-Id
De Cheng
Jingyu Zhou
N. Wang
Xinbo Gao
39
59
0
29 Sep 2021
Structure-Preserving Image Super-Resolution
Structure-Preserving Image Super-Resolution
Cheng Ma
Yongming Rao
Jiwen Lu
Jie Zhou
SupR
29
65
0
26 Sep 2021
Multi-source Few-shot Domain Adaptation
Multi-source Few-shot Domain Adaptation
Xiangyu Yue
Zangwei Zheng
Colorado Reed
Hari Prasanna Das
Kurt Keutzer
Alberto L. Sangiovanni-Vincentelli
35
12
0
25 Sep 2021
Learning Contrastive Representation for Semantic Correspondence
Learning Contrastive Representation for Semantic Correspondence
Taihong Xiao
Sifei Liu
Shalini De Mello
Zhiding Yu
Jan Kautz
Ming-Hsuan Yang
SSL
88
15
0
22 Sep 2021
A Study of the Generalizability of Self-Supervised Representations
A Study of the Generalizability of Self-Supervised Representations
Atharva Tendle
Mohammad Rashedul Hasan
81
27
0
19 Sep 2021
Self-supervised learning methods and applications in medical imaging
  analysis: A survey
Self-supervised learning methods and applications in medical imaging analysis: A survey
Saeed Shurrab
R. Duwairi
OOD
42
178
0
17 Sep 2021
Deep Bregman Divergence for Contrastive Learning of Visual
  Representations
Deep Bregman Divergence for Contrastive Learning of Visual Representations
Mina Rezaei
Farzin Soleymani
B. Bischl
Shekoofeh Azizi
SSL
50
16
0
15 Sep 2021
Taming Self-Supervised Learning for Presentation Attack Detection:
  De-Folding and De-Mixing
Taming Self-Supervised Learning for Presentation Attack Detection: De-Folding and De-Mixing
Zhe Kong
Wentian Zhang
Feng Liu
Wenhan Luo
Haozhe Liu
Linlin Shen
Raghavendra Ramachandra
AAML
45
6
0
09 Sep 2021
Self Supervision to Distillation for Long-Tailed Visual Recognition
Self Supervision to Distillation for Long-Tailed Visual Recognition
Tianhao Li
Limin Wang
Gangshan Wu
45
101
0
09 Sep 2021
Knowledge Distillation Using Hierarchical Self-Supervision Augmented
  Distribution
Knowledge Distillation Using Hierarchical Self-Supervision Augmented Distribution
Chuanguang Yang
Zhulin An
Linhang Cai
Yongjun Xu
35
15
0
07 Sep 2021
ScatSimCLR: self-supervised contrastive learning with pretext task
  regularization for small-scale datasets
ScatSimCLR: self-supervised contrastive learning with pretext task regularization for small-scale datasets
Vitaliy Kinakh
O. Taran
S. Voloshynovskiy
38
12
0
31 Aug 2021
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
Contrastive Mixup: Self- and Semi-Supervised learning for Tabular Domain
Sajad Darabi
Shayan Fazeli
Ali Pazoki
S. Sankararaman
Majid Sarrafzadeh
SSL
26
29
0
27 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
Semantically Coherent Out-of-Distribution Detection
Semantically Coherent Out-of-Distribution Detection
Jingkang Yang
Haoqi Wang
Xue Jiang
Xiaopeng Yan
Huabin Zheng
Wayne Zhang
Ziwei Liu
OODD
39
127
0
26 Aug 2021
Reducing Label Effort: Self-Supervised meets Active Learning
Reducing Label Effort: Self-Supervised meets Active Learning
Javad Zolfaghari Bengar
Joost van de Weijer
Bartlomiej Twardowski
Bogdan Raducanu
VLM
24
60
0
25 Aug 2021
A Framework for Learning Ante-hoc Explainable Models via Concepts
A Framework for Learning Ante-hoc Explainable Models via Concepts
Anirban Sarkar
Deepak Vijaykeerthy
Anindya Sarkar
V. Balasubramanian
LRM
BDL
22
46
0
25 Aug 2021
Temporal Knowledge Consistency for Unsupervised Visual Representation
  Learning
Temporal Knowledge Consistency for Unsupervised Visual Representation Learning
Wei Feng
Yuanjiang Wang
Lihua Ma
Ye Yuan
Chi Zhang
SSL
21
13
0
24 Aug 2021
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
Concurrent Discrimination and Alignment for Self-Supervised Feature
  Learning
Concurrent Discrimination and Alignment for Self-Supervised Feature Learning
Anjan Dutta
Massimiliano Mancini
Zeynep Akata
SSL
22
0
0
19 Aug 2021
Self-Supervised Visual Representations Learning by Contrastive Mask
  Prediction
Self-Supervised Visual Representations Learning by Contrastive Mask Prediction
Yucheng Zhao
Guangting Wang
Chong Luo
Wenjun Zeng
Zhengjun Zha
ISeg
SSL
27
46
0
18 Aug 2021
MVCNet: Multiview Contrastive Network for Unsupervised Representation
  Learning for 3D CT Lesions
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions
Penghua Zhai
Huaiwei Cong
Gangming Zhao
Chaowei Fang
Jinpeng Li
Ting Cai
Huiguang He
27
10
0
17 Aug 2021
Investigating a Baseline Of Self Supervised Learning Towards Reducing
  Labeling Costs For Image Classification
Investigating a Baseline Of Self Supervised Learning Towards Reducing Labeling Costs For Image Classification
Hilal AlQuabeh
Ameera Bawazeer
Abdulateef Alhashmi
SSL
21
3
0
17 Aug 2021
Clustering augmented Self-Supervised Learning: Anapplication to Land
  Cover Mapping
Clustering augmented Self-Supervised Learning: Anapplication to Land Cover Mapping
Rahul Ghosh
X. Jia
Chenxi Lin
Zhenong Jin
Vipin Kumar
SSL
35
9
0
16 Aug 2021
Self-supervised Contrastive Learning of Multi-view Facial Expressions
Self-supervised Contrastive Learning of Multi-view Facial Expressions
Shuvendu Roy
Ali Etemad
31
38
0
15 Aug 2021
Towards to Robust and Generalized Medical Image Segmentation Framework
Yurong Chen
OOD
33
3
0
09 Aug 2021
Skeleton-Contrastive 3D Action Representation Learning
Skeleton-Contrastive 3D Action Representation Learning
Fida Mohammad Thoker
Hazel Doughty
Cees G. M. Snoek
SSL
29
130
0
08 Aug 2021
Spatiotemporal Contrastive Learning of Facial Expressions in Videos
Spatiotemporal Contrastive Learning of Facial Expressions in Videos
Shuvendu Roy
Ali Etemad
44
17
0
06 Aug 2021
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
A Low Rank Promoting Prior for Unsupervised Contrastive Learning
Yu Wang
Jingyang Lin
Qi Cai
Yingwei Pan
Ting Yao
Hongyang Chao
Tao Mei
SSL
38
16
0
05 Aug 2021
Co-learning: Learning from Noisy Labels with Self-supervision
Co-learning: Learning from Noisy Labels with Self-supervision
Cheng Tan
Jun Xia
Lirong Wu
Stan Z. Li
NoLa
76
120
0
05 Aug 2021
On the Efficacy of Small Self-Supervised Contrastive Models without
  Distillation Signals
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals
Haizhou Shi
Youcai Zhang
Siliang Tang
Wenjie Zhu
Yaqian Li
Yandong Guo
Yueting Zhuang
SyDa
23
15
0
30 Jul 2021
Self-Paced Contrastive Learning for Semi-supervised Medical Image
  Segmentation with Meta-labels
Self-Paced Contrastive Learning for Semi-supervised Medical Image Segmentation with Meta-labels
Jizong Peng
Ping Wang
Chrisitian Desrosiers
M. Pedersoli
SSL
31
63
0
29 Jul 2021
Hierarchical Self-supervised Augmented Knowledge Distillation
Hierarchical Self-supervised Augmented Knowledge Distillation
Chuanguang Yang
Zhulin An
Linhang Cai
Yongjun Xu
SSL
35
76
0
29 Jul 2021
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