Learning Representations for Automatic Colorization

Very Deep Convolutional Networks for Large-Scale Image Recognition

Simonyan, K., & Zisserman, A. (2014) · arXiv · doi:10.48550/arxiv.1409.1556 · Cited by 114,148

ImageNet Large Scale Visual Recognition Challenge

Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., et al. (2015) · International Journal of Computer Vision · doi:10.1007/s11263-015-0816-y · Cited by 39,380

Fully convolutional networks for semantic segmentation

Long, J., Shelhamer, E., & Darrell, T. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2015.7298965 · Cited by 38,834

Normalized cuts and image segmentation

Shi, J., & Malik, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868688 · Cited by 15,935

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate ShiftPreprint

Ioffe, S. (2024) · arXiv (Cornell University) · doi:10.57702/o9raffed · Cited by 15,273

Untitled work

(2010) · Cited by 14,134

Context Encoders: Feature Learning by Inpainting

Pathak, D., Krahenbuhl, P., Donahue, J., Darrell, T., & Efros, A. A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.278 · Cited by 5,691

Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs

Chen, L.-C., Papandreou, G., Kokkinos, I., Murphy, K., & Yuille, A. L. (2014) · arXiv · doi:10.48550/arxiv.1412.7062 · Cited by 4,213

Colorful Image Colorization

Zhang, R., Isola, P., & Efros, A. A. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-46487-9_40 · Cited by 3,417

Holistically-Nested Edge Detection

Xie, S., & Tu, Z. (2015) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2015.164 · Cited by 3,401

Self-Supervision Can Be a Good Few-Shot Learner

Lu, Y., Wen, L., Liu, J., Liu, Y., & Tian, X. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19800-7_43 · Cited by 55

A Superpixel-Based Variational Model for Image Colorization

Fang, F., Wang, T., Zeng, T., & Zhang, G. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2908363 · Cited by 54

Learning from Few Samples: A SurveyPreprint

Bendre, N., Terashima‐Marín, H., & Najafirad, P. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.15484 · Cited by 66

Delving into Inter-Image Invariance for Unsupervised Visual Representations

Xie, J., Zhan, X., Liu, Z., Ong, Y.-S., & Loy, C. C. (2022) · International Journal of Computer Vision · doi:10.1007/s11263-022-01681-x · Cited by 59

Invertible grayscale

Xia, M., Liu, X., & Wong, T. (2018) · ACM Transactions on Graphics · doi:10.1145/3272127.3275080 · Cited by 52

Example‐Based Colourization Via Dense Encoding Pyramids

Xiao, C., Han, C., Zhang, Z., Qin, J., Wong, T., Han, G., & He, S. (2019) · Computer Graphics Forum · doi:10.1111/cgf.13659 · Cited by 52

Robust Cross-Modal Representation Learning with Progressive Self-Distillation

Andonian, A., Chen, S., & Hamid, R. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.01594 · Cited by 57

Unsupervised Learning of Foreground Object Segmentation

Croitoru, I., Bogolin, S.-V., & Leordeanu, M. (2019) · International Journal of Computer Vision · doi:10.1007/s11263-019-01183-3 · Cited by 51

Cancer Survival Prediction From Whole Slide Images With Self-Supervised Learning and Slide Consistency

Fan, L., Sowmya, A., Meijering, E. H. W., & Song, Y. (2022) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2022.3228275 · Cited by 51

LKAT-GAN: A GAN for Thermal Infrared Image Colorization Based on Large Kernel and AttentionUNet-Transformer

He, Y., Jin, X., Jiang, Q., Cheng, Z., Wang, P., & Zhou, W. (2023) · IEEE Transactions on Consumer Electronics · doi:10.1109/tce.2023.3280165 · Cited by 50

GAF-MAE: A Self-Supervised Automatic Modulation Classification Method Based on Gramian Angular Field and Masked Autoencoder

Shi, Y., Xu, H., Zhang, Y., Qi, Z., & Wang, D. (2023) · IEEE Transactions on Cognitive Communications and Networking · doi:10.1109/tccn.2023.3318414 · Cited by 55

Deep Learning Thermal Image Translation for Night Vision Perception

Liu, S., Gao, M., John, V., Liu, Z., & Blasch, E. (2020) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/3426239 · Cited by 50

GAN-Based Image Colorization for Self-Supervised Visual Feature Learning

Treneska, S., Zdravevski, E., Pires, I. M., Lameski, P., & Gievska, S. (2022) · Sensors · doi:10.3390/s22041599 · Cited by 50

$$\mathrm {CT^2}$$: Colorization Transformer via Color Tokens

Weng, S., Sun, J., Li, Y., Li, S., & Shi, B. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-20071-7_1 · Cited by 49

ICCL: Independent and Correlative Correspondence Learning for few-shot image classification

Zheng, Z., Wu, H., Lv, L., Ye, H., Zhang, C., & Yu, G. (2023) · Knowledge-Based Systems · doi:10.1016/j.knosys.2023.110412 · Cited by 50

Structural Consistency and Controllability for Diverse Colorization

Messaoud, S., Forsyth, D. A., & Schwing, A. G. (2018) · Lecture notes in computer science · doi:10.1007/978-3-030-01231-1_37 · Cited by 49

EM Simulation-Aided Zero-Shot Learning for SAR Automatic Target Recognition

Song, Q., Chen, H., Xu, F., & Cui, T. J. (2019) · IEEE Geoscience and Remote Sensing Letters · doi:10.1109/lgrs.2019.2936897 · Cited by 49

Time-travel rephotography

Luo, X., Zhang, X., Yoo, P., Martin-Brualla, R., Lawrence, J., & Seitz, S. M. (2021) · ACM Transactions on Graphics · doi:10.1145/3478513.3480485 · Cited by 48

Image Colorization using CycleGAN with semantic and spatial rationality

Li, B., Lu, Y., Pang, W., & Xu, H. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-14675-9 · Cited by 48

Artistic photo filter removal using convolutional neural networks

Bianco, S., Cusano, C., Piccoli, F., & Schettini, R. (2017) · Journal of Electronic Imaging · doi:10.1117/1.jei.27.1.011004 · Cited by 48

Self-Supervised Representation Learning From Multi-Domain Data

Feng, Z., Xu, C., & Tao, D. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00334 · Cited by 48

Semantically consistent text to fashion image synthesis with an enhanced attentional generative adversarial network

Ak, K. E., Lim, J., Tham, J. Y., & Kassim, A. A. (2020) · Pattern Recognition Letters · doi:10.1016/j.patrec.2020.02.030 · Cited by 49

VCGAN: Video Colorization With Hybrid Generative Adversarial Network

Zhao, Y., Po, L.-M., Yu, W.-Y., Rehman, Y. A. U., Liu, M., Zhang, Y., & Ou, W. (2022) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2022.3154600 · Cited by 47

Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning

Li, L., Zhou, T., Wang, W., Yang, L., Li, J., & Yang, Y. (2022) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52688.2022.00852 · Cited by 48

My View is the Best View: Procedure Learning from Egocentric Videos

Bansal, S., Arora, C., & Jawahar, C. V. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19778-9_38 · Cited by 45

S3C: Self-Supervised Stochastic Classifiers for Few-Shot Class-Incremental Learning

Kalla, J., & Biswas, S. (2022) · Lecture Notes in Computer Science · doi:10.1007/978-3-031-19806-9_25 · Cited by 45

Self-Supervised Learning for Label Sparsity in Computational Drug Repositioning

Yang, X., Yang, G., & Chu, J. (2023) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2023.3254163 · Cited by 46

RANUS: RGB and NIR Urban Scene Dataset for Deep Scene Parsing

Choe, G., Kim, S., Im, S., Lee, J., Narasimhan, S. G., & Kweon, I. S. (2018) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2018.2801390 · Cited by 45

Self-Supervised Feature Augmentation for Large Image Object Detection

Pan, X., Tang, F., Dong, W., Gu, Y., Song, Z., Meng, Y., Xu, P., Deußen, O., & Xu, C. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2020.2993403 · Cited by 45

A Survey on Self-supervised Pre-training for Sequential Transfer Learning in Neural NetworksPreprint

Mao, H. H. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2007.00800 · Cited by 66

Lightweight Generative Adversarial Networks for Text-Guided Image ManipulationPreprint

Li, B., Qi, X., Torr, P. H. S., & Lukasiewicz, T. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.12136 · Cited by 45

iColoriT: Towards Propagating Local Hints to the Right Region in Interactive Colorization by Leveraging Vision Transformer

Yun, J., Lee, S., Park, M., & Choo, J. (2023) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv56688.2023.00183 · Cited by 44

Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only

Chen, J., Zhu, D., Qian, G., Ghanem, B., Yan, Z., Zhu, C., Xiao, F., Culatana, S. C., & Elhoseiny, M. (2023) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51070.2023.00071 · Cited by 53

NIR to RGB Domain Translation Using Asymmetric Cycle Generative Adversarial Networks

Sun, T., Jung, C., Fu, Q., & Han, Q. (2019) · IEEE Access · doi:10.1109/access.2019.2933671 · Cited by 44

STNet: An End-to-End Generative Framework for Synthesizing Spatiotemporal Super-Resolution Volumes

Han, J., Zheng, H., Chen, D. Z., & Wang, C. (2021) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2021.3114815 · Cited by 44

L-CoDe:Language-Based Colorization Using Color-Object Decoupled Conditions

Weng, S., Wu, H., Chang, Z., Tang, J., Li, S., & Shi, B. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i3.20170 · Cited by 42

Perceptual-Aware Sketch Simplification Based on Integrated VGG Layers

Xu, X., Xie, M., Miao, P., Qu, W., Xiao, W., Zhang, H., Liu, X., & Wong, T. (2019) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2019.2930512 · Cited by 42

Label-Efficient Learning on Point Clouds Using Approximate Convex Decompositions

Gadelha, M., RoyChowdhury, A., Sharma, G., Kalogerakis, E., Cao, L., Miller, E. G., Wang, R., & Maji, S. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-58607-2_28 · Cited by 44

Max-Margin Contrastive Learning

Shah, A., Sra, S., Chellappa, R., & Cherian, A. (2022) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v36i8.20796 · Cited by 44

Self-Supervised Visual Representation Learning from Hierarchical GroupingPreprint

Zhang, X. L., & Maire, M. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2012.03044 · Cited by 44

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-TuningPreprint

Zhang, Y., Hooi, B., Hu, D., Liang, J., & Feng, J. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2102.06605 · Cited by 44

Colorization Using Neural Network Ensemble

Cheng, Z., Yang, Q., & Sheng, B. (2017) · IEEE Transactions on Image Processing · doi:10.1109/tip.2017.2740620 · Cited by 41

SAENet: Self-Supervised Adversarial and Equivariant Network for Weakly Supervised Object Detection in Remote Sensing Images

Feng, X., Yao, X., Cheng, G., Han, J., & Han, J. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3105575 · Cited by 42

Revisiting Local Descriptor for Improved Few-Shot Classification

He, J., Hong, R., Liu, X., Xu, M., & Sun, Q. (2022) · ACM Transactions on Multimedia Computing Communications and Applications · doi:10.1145/3511917 · Cited by 41

(DE)$^2$CO: Deep Depth Colorization

Carlucci, F. M., Russo, P., & Barbara Caputo, B. (2018) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2018.2812225 · Cited by 42

Control Color: Multimodal Diffusion-Based Interactive Image Colorization

Liang, Z., Li, Z., Zhou, S., Li, Y., & Loy, C. C. (2025) · International Journal of Computer Vision · doi:10.1007/s11263-025-02549-6 · Cited by 61

The Challenges of Continuous Self-Supervised Learning

Purushwalkam, S., Morgado, P. M., & Gupta, A. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19809-0_40 · Cited by 47

Unsupervised Object-Level Representation Learning from Scene ImagesPreprint

Xie, J., Zhan, X., Liu, Z., Ong, Y.-S., & Loy, C. C. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2106.11952 · Cited by 40

Infrared Image Colorization Using a S-Shape Network

Dong, Z., Kamata, S., & Breckon, T. P. (2018) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2018.8451230 · Cited by 39

Self-Supervised Relational Reasoning for Representation LearningPreprint

Patacchiola, M., & Storkey, A. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2006.05849 · Cited by 40

Semantic invariant cross-domain image generation with generative adversarial networks

Mao, X., Wang, S., Zheng, L., & Huang, Q. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.02.092 · Cited by 38

Self-Supervised Representation Learning via Neighborhood-Relational Encoding

Sabokrou, M., Khalooei, M., & Adeli, E. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00810 · Cited by 38

Resolution-based distillation for efficient histology image classification

DiPalma, J., Suriawinata, A. A., Tafe, L. J., Torresani, L., & Hassanpour, S. (2021) · Artificial Intelligence in Medicine · doi:10.1016/j.artmed.2021.102136 · Cited by 41

Shape Reconstruction Using Differentiable Projections and Deep Priors

Gadelha, M., Wang, R., & Maji, S. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00011 · Cited by 38

Geometric Unsupervised Domain Adaptation for Semantic Segmentation

Guizilini, V., Li, J., Ambruş, R., & Gaidon, A. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.00842 · Cited by 37

PalGAN: Image Colorization with Palette Generative Adversarial Networks

Wang, Y., Xia, M., Qi, L., Shao, J., & Qiao, Y. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19784-0_16 · Cited by 38

Differentiable Histogram Loss Functions for Intensity-based Image-to-Image Translation

Avi-Aharon, M., Arbelle, A., & Raviv, T. R. (2023) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2023.3278287 · Cited by 38

Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects

Kim, E., Lee, S., Park, J.-H., Choi, S., Seo, C., & Choo, J. (2021) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv48922.2021.01440 · Cited by 38

L-CoDer: Language-Based Colorization with Color-Object Decoupling Transformer

Chang, Z., Weng, S., Li, Y., Li, S., & Shi, B. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19797-0_21 · Cited by 37

Explainable Models with Consistent Interpretations

Pillai, V., & Pirsiavash, H. (2021) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v35i3.16344 · Cited by 38

Extending and Analyzing Self-supervised Learning Across Domains

Wallace, B., & Hariharan, B. (2020) · Lecture Notes in Computer Science · doi:10.1007/978-3-030-58574-7_43 · Cited by 35

Global and Local Contrastive Learning for Self-Supervised Skeleton-Based Action Recognition

Hu, J., Hou, Y., Guo, Z., & Gao, J. (2024) · IEEE Transactions on Circuits and Systems for Video Technology · doi:10.1109/tcsvt.2024.3410301 · Cited by 35

Remote sensing image colorization using symmetrical multi-scale DCGAN in YUV color space

Wu, M., Jin, X., Jiang, Q., Lee, S., Liang, W., Guo, L., & Yao, S. (2020) · The Visual Computer · doi:10.1007/s00371-020-01933-2 · Cited by 35

Self-Supervised Learning to Increase the Performance of Skin Lesion Classification

Kwasigroch, A., Grochowski, M., & Mikołajczyk, A. (2020) · Electronics · doi:10.3390/electronics9111930 · Cited by 37

A review of image and video colorization: From analogies to deep learning

Chen, S., Zhang, J., Zhao, Y.-Y., Rosin, P. L., Lai, Y., & Gao, L. (2022) · Visual Informatics · doi:10.1016/j.visinf.2022.05.003 · Cited by 35

Progressively Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Lee, H.-Y., Li, Y., Lee, T., & Aslam, M. S. (2023) · Sensors · doi:10.3390/s23156858 · Cited by 35

L-CoIns: Language-based Colorization With Instance Awareness

Chang, Z., Weng, S., Zhang, P., Li, Y., Li, S., & Shi, B. (2023) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52729.2023.01842 · Cited by 39

Mix-and-Match Tuning for Self-Supervised Semantic Segmentation

Zhan, X., Liu, Z., Luo, P., Tang, X., & Loy, C. (2018) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v32i1.12331 · Cited by 34

Sense and Learn: Self-supervision for omnipresent sensors

Saeed, A., Ungureanu, V., & Gfeller, B. (2021) · Machine Learning with Applications · doi:10.1016/j.mlwa.2021.100152 · Cited by 34

Learning to Colorize Infrared Images

Suárez, P. L., Sappa, A. D., & Vintimilla, B. X. (2017) · Advances in intelligent systems and computing · doi:10.1007/978-3-319-61578-3_16 · Cited by 34

Image Colorization by Capsule Networks

Özbulak, G. (2019) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2019.00268 · Cited by 34

Self-Supervised Agent Learning for Unsupervised Cross-Domain Person Re-Identification

Jiang, K., Zhang, T., Zhang, Y., Wu, F., & Rui, Y. (2020) · IEEE Transactions on Image Processing · doi:10.1109/tip.2020.3016869 · Cited by 34

A Survey on Masked Autoencoder for Visual Self-supervised Learning

Zhang, C., Zhang, C., Song, J., Yi, J. S. K., & Kweon, I. S. (2023) · International Joint Conference on Artificial Intelligence · doi:10.24963/ijcai.2023/762 · Cited by 39

BiSTNet: Semantic Image Prior Guided Bidirectional Temporal Feature Fusion for Deep Exemplar-Based Video Colorization

Yang, Y., Pan, J., Peng, Z., Du, X., Tao, Z., & Tang, J. (2024) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2024.3370920 · Cited by 34

Fully Convolutional Network-Based Self-Supervised Learning for Semantic Segmentation

Yang, Z., Yu, H., He, Y., Sun, W., Mao, Z., & Mian, A. S. (2022) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3172423 · Cited by 34

Multiple hypothesis colorization and its application to image compression

Baig, M. H., & Torresani, L. (2017) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2017.01.010 · Cited by 33

Self-supervised Learning for Deep Models in Recommendations.Preprint

Yao, T., Yi, X., Cheng, D. Z., Yu, F. X., Menon, A. K., Hong, L., Ed, H., Tjoa, S., Kang, J., & Ettinger, E. (2020) · arXiv (Cornell University) · Cited by 33

Single satellite imagery simultaneous super-resolution and colorization using multi-task deep neural networks

Liu, H., Fu, Z., Han, J., Shao, L., & Liu, H. (2018) · Journal of Visual Communication and Image Representation · doi:10.1016/j.jvcir.2018.02.016 · Cited by 32

Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes

Ge, W., Pan, C., Wu, A., Zheng, H., & Zheng, W. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475382 · Cited by 33

Colorizing the Past: Deep Learning for the Automatic Colorization of Historical Aerial Images

Farella, E. M., Malek, S., & Fabio Remondino, A. (2022) · Journal of Imaging · doi:10.3390/jimaging8100269 · Cited by 32

Play as You Like: Timbre-Enhanced Multi-Modal Music Style Transfer

Lu, C.-Y., Xue, M.-X., Chang, C.-C., Lee, C., & Su, L. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence · doi:10.1609/aaai.v33i01.33011061 · Cited by 32

MRI Cross-Modality NeuroImage-to-NeuroImage TranslationPreprint

Yang, Q., Li, N., Zhao, Z., Fan, X., Chang, E., & Xu, Y. L. (2018) · arXiv (Cornell University) · doi:10.48550/arxiv.1801.06940 · Cited by 32

Automatic advertising image color design incorporating a visual color analyzer

You, W., Sun, L., Yang, Z., & Yang, C. (2019) · Journal of Computer Languages · doi:10.1016/j.cola.2019.100910 · Cited by 33

Regularizing Deep Networks by Modeling and Predicting Label Structure

Mostajabi, M., Maire, M., & Shakhnarovich, G. (2018) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2018.00590 · Cited by 31

Consistent Embedded GAN for Image-to-Image Translation

Xiong, F., Wang, Q., & Gao, Q. (2019) · IEEE Access · doi:10.1109/access.2019.2939654 · Cited by 31

Unpaired medical image colorization using generative adversarial network

Liang, Y., Lee, D., Li, Y., & Shin, B. (2021) · Multimedia Tools and Applications · doi:10.1007/s11042-020-10468-6 · Cited by 31

Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision

Weng, Z., Ogut, M. G., Limonchik, S., & Yeung, S. Y. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00263 · Cited by 31

Modeling the Uncertainty for Self-supervised 3D Skeleton Action Representation Learning

Su, Y., Lin, G., Sun, R., Hao, Y., & Wu, Q. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475248 · Cited by 31

Fine‐grained semantic ethnic costume high‐resolution image colorization with conditional GAN

Wu, D., Gan, J., Zhou, J., Wang, J., & Gao, W. D. (2021) · International Journal of Intelligent Systems · doi:10.1002/int.22726 · Cited by 31

Deep Learning for Automatic Colorization of Legacy Grayscale Aerial Photographs

Poterek, Q., Herrault, P., Skupinski, G., & Sheeren, D. (2020) · IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing · doi:10.1109/jstars.2020.2992082 · Cited by 31

How Well Do Self-Supervised Models Transfer?

Ericsson, L., Gouk, H., & Hospedales, T. M. (2021) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr46437.2021.00537 · Cited by 45

Yes, "Attention Is All You Need", for Exemplar based Colorization

Yin, W., Lu, P., Zhao, Z., & Peng, X. (2021) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/3474085.3475385 · Cited by 30

Unsupervised Deep Exemplar Colorization via Pyramid Dual Non-Local Attention

Wang, H., Zhai, D., Liu, X., Jiang, J., & Gao, W. (2023) · IEEE Transactions on Image Processing · doi:10.1109/tip.2023.3293777 · Cited by 29

Completely Self-supervised Crowd Counting via Distribution Matching

Sam, D. B., Agarwalla, A., Joseph, J., Sindagi, V. A., Babu, R. V., & Patel, V. M. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-19821-2_11 · Cited by 29

A Blind Color Separation Model for Faithful Palette-Based Image Recoloring

Zhang, Q., Nie, Y., Zhu, L., Xiao, C., & Zheng, W. (2021) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2021.3067463 · Cited by 29

Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification With Limited Training Samples

Yue, J., Zhu, D., Fang, L., Ghamisi, P., & Wang, Y. (2021) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2021.3095056 · Cited by 29

Unsupervised Representation Learning by InvariancePropagationPreprint

Wang, F., Liu, H., Guo, D., & Fuchun, S. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2010.11694 · Cited by 29

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