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Multi‐cropping contrastive learning and domain consistency for unsupervised image‐to‐image translation

https://doi.org/10.1049/ipr2.70006
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-030-01216-8_11openalex-snapshot
Attention-GAN for Object Transfiguration in Wild Images
inferredcites →https://doi.org/10.1007/978-3-030-01219-9_11openalex-snapshot
Multimodal Unsupervised Image-to-Image Translation
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_1openalex-snapshot
CBAM: Convolutional Block Attention Module
inferredcites →https://doi.org/10.1007/978-3-030-01246-5_3openalex-snapshot
Diverse Image-to-Image Translation via Disentangled Representations
inferredcites →https://doi.org/10.1007/978-3-030-24274-9_20openalex-snapshot
CBAM-GAN: Generative Adversarial Networks Based on Convolutional Block Attention Module
inferredcites →https://doi.org/10.1007/978-3-030-58545-7_19openalex-snapshot
Contrastive Learning for Unpaired Image-to-Image Translation
inferredcites →https://doi.org/10.1007/978-3-319-46487-9_40openalex-snapshot
Colorful Image Colorization
inferredcites →https://doi.org/10.1007/978-3-319-70139-4openalex-snapshot
Neural Information Processing
inferredcites →https://doi.org/10.1007/s40747-022-00924-1openalex-snapshot
Multi-feature contrastive learning for unpaired image-to-image translation
inferredcites →https://doi.org/10.1016/j.neucom.2021.02.054openalex-snapshot
URCA-GAN: UpSample Residual Channel-wise Attention Generative Adversarial Network for image-to-image translation
inferredcites →https://doi.org/10.1109/cvpr.2009.5206848openalex-snapshot
ImageNet: A large-scale hierarchical image database
inferredcites →https://doi.org/10.1109/cvpr.2016.265openalex-snapshot
Image Style Transfer Using Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/cvpr.2017.632openalex-snapshot
Image-to-Image Translation with Conditional Adversarial Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00333openalex-snapshot
Image Blind Denoising with Generative Adversarial Network Based Noise Modeling
inferredcites →https://doi.org/10.1109/cvpr.2018.00745openalex-snapshot
Squeeze-and-Excitation Networks
inferredcites →https://doi.org/10.1109/cvpr.2018.00917openalex-snapshot
High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs
inferredcites →https://doi.org/10.1109/cvpr.2019.00244openalex-snapshot
Semantic Image Synthesis With Spatially-Adaptive Normalization
inferredcites →https://doi.org/10.1109/cvpr.2019.00253openalex-snapshot
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00406openalex-snapshot
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00821openalex-snapshot
StarGAN v2: Diverse Image Synthesis for Multiple Domains
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00975openalex-snapshot
Momentum Contrast for Unsupervised Visual Representation Learning
inferredcites →https://doi.org/10.1109/cvpr46437.2021.01614openalex-snapshot
The Spatially-Correlative Loss for Various Image Translation Tasks
inferredcites →https://doi.org/10.1109/cvpr52688.2022.01775openalex-snapshot
QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation
inferredcites →https://doi.org/10.1109/cvpr52729.2023.02216openalex-snapshot
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment
inferredcites →https://doi.org/10.1109/cvprw.2018.00113openalex-snapshot
Unsupervised Image Super-Resolution Using Cycle-in-Cycle Generative Adversarial Networks
inferredcites →https://doi.org/10.1109/cvprw53098.2021.00084openalex-snapshot
Dual Contrastive Learning for Unsupervised Image-to-Image Translation
inferredcites →https://doi.org/10.1109/icassp48485.2024.10446691openalex-snapshot
A Novel Multi-Atlas Fusion Model Based On Contrastive Learning For Functional Connectivity Graph Diagnosis
inferredcites →https://doi.org/10.1109/iccv.2017.244openalex-snapshot
Unpaired Image-to-Image Translation Using Cycle-Consistent Adversarial Networks
inferredcites →https://doi.org/10.1109/iccv.2017.310openalex-snapshot
DualGAN: Unsupervised Dual Learning for Image-to-Image Translation
inferredcites →https://doi.org/10.1109/iccv.2019.00069openalex-snapshot
CCNet: Criss-Cross Attention for Semantic Segmentation
inferredcites →https://doi.org/10.1109/iccv.2019.00338openalex-snapshot
Attention Augmented Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv48922.2021.00082openalex-snapshot
FcaNet: Frequency Channel Attention Networks
inferredcites →https://doi.org/10.1109/iccv48922.2021.00648openalex-snapshot
SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation
inferredcites →https://doi.org/10.1109/iccv48922.2021.01376openalex-snapshot
Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation
inferredcites →https://doi.org/10.1109/icdm58522.2023.00147openalex-snapshot
Refining the Unseen: Self-supervised Two-stream Feature Extraction for Image Quality Assessment
inferredcites →https://doi.org/10.1109/icme57554.2024.10687481openalex-snapshot
No-Reference MRI Quality Assessment via Contrastive Representation: Spatial and Frequency Domain Perspectives
inferredcites →https://doi.org/10.1109/igarss47720.2021.9553857openalex-snapshot
Single Underwater Image Restoration by Contrastive Learning
inferredcites →https://doi.org/10.1109/ijcnn.2019.8851881openalex-snapshot
Attention-Guided Generative Adversarial Networks for Unsupervised Image-to-Image Translation
inferredcites →https://doi.org/10.1109/tcsvt.2019.2920407openalex-snapshot
Image De-Raining Using a Conditional Generative Adversarial Network
inferredcites →https://doi.org/10.1109/tcsvt.2020.2988895openalex-snapshot
Multi-Grained Attention Networks for Single Image Super-Resolution
inferredcites →https://doi.org/10.1109/tip.2019.2914583openalex-snapshot
Show, Attend, and Translate: Unsupervised Image Translation With Self-Regularization and Attention
inferredcites →https://doi.org/10.1109/tip.2024.3371358openalex-snapshot
Exploring Hierarchical Information in Hyperbolic Space for Self-Supervised Image Hashing
inferredcites →https://doi.org/10.1109/tits.2022.3170328openalex-snapshot
Cycle-SNSPGAN: Towards Real-World Image Dehazing via Cycle Spectral Normalized Soft Likelihood Estimation Patch GAN
inferredcites →https://doi.org/10.1109/wacv48630.2021.00318openalex-snapshot
Rotate to Attend: Convolutional Triplet Attention Module
inferredcites →https://doi.org/10.1145/3503161.3547802openalex-snapshot
Exploring Negatives in Contrastive Learning for Unpaired Image-to-Image Translation
inferredcites →https://doi.org/10.1145/3581783.3613440openalex-snapshot
CHAIN: Exploring Global-Local Spatio-Temporal Information for Improved Self-Supervised Video Hashing
inferredcites →https://doi.org/10.1609/aaai.v38i15.29621openalex-snapshot
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis
inferredcites →https://doi.org/10.48550/arxiv.1805.08318openalex-snapshot
Self-Attention Generative Adversarial Networks

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4706204openalex-extracted
Cycle Contrastive Adversarial Learning with Structural Consistency for Unsupervised High-Quality Image Deraining Transforme
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128788openalex-snapshot
Dynamic range compression method for high radiometric resolution remote sensing images using contrastive learning
inferred← citeshttps://doi.org/10.1109/ncim65934.2025.11160223openalex-snapshot
Performance Comparison of CycleGAN for Image-to-Image Translation in Multiple Domains
inferred← citeshttps://doi.org/10.1177/30504554251396058openalex-snapshot
RFA-GAN: A Dual-Attention Image-to-Image Translation With Robustness and Frequency Sensing Capabilities
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