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Unifying Dual-Attention and Siamese Transformer Network for Full-Reference Image Quality Assessment

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What this work says

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

inferredcites →https://doi.org/10.1002/0470011815.b2a15150openalex-snapshot
Spearman Rank Correlation
inferredcites →https://doi.org/10.1007/978-0-387-32833-1_211openalex-snapshot
Kendall Rank Correlation Coefficient
inferredcites →https://doi.org/10.1007/978-3-642-00296-0_5openalex-snapshot
Pearson Correlation Coefficient
inferredcites →https://doi.org/10.1007/s00530-022-01003-8openalex-snapshot
A survey of visual neural networks: current trends, challenges and opportunities
inferredcites →https://doi.org/10.1007/s11432-019-2757-1openalex-snapshot
Perceptual image quality assessment: a survey
inferredcites →https://doi.org/10.1007/s11760-020-01664-wopenalex-snapshot
Composition-preserving deep approach to full-reference image quality assessment
inferredcites →https://doi.org/10.1016/j.cviu.2016.12.009openalex-snapshot
Learning a no-reference quality metric for single-image super-resolution
inferredcites →https://doi.org/10.1016/j.image.2014.10.009openalex-snapshot
Image database TID2013: Peculiarities, results and perspectives
inferredcites →https://doi.org/10.1016/j.tics.2003.09.006openalex-snapshot
Human gaze control during real-world scene perception
inferredcites →https://doi.org/10.1093/comjnl/bxy047openalex-snapshot
Perceptual Image Hashing with Weighted DWT Features for Reduced-Reference Image Quality Assessment
inferredcites →https://doi.org/10.1109/83.841940openalex-snapshot
Image quality assessment based on a degradation model
inferredcites →https://doi.org/10.1109/97.995823openalex-snapshot
A universal image quality index
inferredcites →https://doi.org/10.1109/acssc.1993.342288openalex-snapshot
Proceedings of 27th Asilomar Conference on Signals, Systems and Computers
inferredcites →https://doi.org/10.1109/cvpr.2018.00068openalex-snapshot
The Unreasonable Effectiveness of Deep Features as a Perceptual Metric
inferredcites →https://doi.org/10.1109/cvpr52688.2022.00784openalex-snapshot
DINE: Domain Adaptation from Single and Multiple Black-box Predictors
inferredcites →https://doi.org/10.1109/lsp.2012.2227726openalex-snapshot
Making a “Completely Blind” Image Quality Analyzer
inferredcites →https://doi.org/10.1109/msp.2008.930649openalex-snapshot
Mean squared error: Love it or leave it? A new look at Signal Fidelity Measures
inferredcites →https://doi.org/10.1109/tcsvt.2005.857300openalex-snapshot
Rate-distortion analysis for H.264/AVC video coding and its application to rate control
inferredcites →https://doi.org/10.1109/tcsvt.2020.3027001openalex-snapshot
Perceptual Hashing With Visual Content Understanding for Reduced-Reference Screen Content Image Quality Assessment
inferredcites →https://doi.org/10.1109/tcsvt.2020.3030895openalex-snapshot
A Novel Just-Noticeable-Difference-Based Saliency-Channel Attention Residual Network for Full-Reference Image Quality Predictions
inferredcites →https://doi.org/10.1109/tcsvt.2022.3143321openalex-snapshot
Dual-Channel Multi-Task CNN for No-Reference Screen Content Image Quality Assessment
inferredcites →https://doi.org/10.1109/tcsvt.2022.3190273openalex-snapshot
Perceptual Hashing With Complementary Color Wavelet Transform and Compressed Sensing for Reduced-Reference Image Quality Assessment
inferredcites →https://doi.org/10.1109/tie.2017.2652339openalex-snapshot
A Fast Reliable Image Quality Predictor by Fusing Micro- and Macro-Structures
inferredcites →https://doi.org/10.1109/tip.2003.819861openalex-snapshot
Image quality assessment: from error visibility to structural similarity
inferredcites →https://doi.org/10.1109/tip.2005.859378openalex-snapshot
Image information and visual quality
inferredcites →https://doi.org/10.1109/tip.2005.859389openalex-snapshot
An information fidelity criterion for image quality assessment using natural scene statistics
inferredcites →https://doi.org/10.1109/tip.2006.881959openalex-snapshot
A Statistical Evaluation of Recent Full Reference Image Quality Assessment Algorithms
inferredcites →https://doi.org/10.1109/tip.2011.2109730openalex-snapshot
FSIM: A Feature Similarity Index for Image Quality Assessment
inferredcites →https://doi.org/10.1109/tip.2011.2175935openalex-snapshot
Image Quality Assessment Based on Gradient Similarity
inferredcites →https://doi.org/10.1109/tip.2013.2293423openalex-snapshot
Gradient Magnitude Similarity Deviation: A Highly Efficient Perceptual Image Quality Index
inferredcites →https://doi.org/10.1109/tip.2014.2346028openalex-snapshot
VSI: A Visual Saliency-Induced Index for Perceptual Image Quality Assessment
inferredcites →https://doi.org/10.1109/tip.2015.2440172openalex-snapshot
Image Quality Assessment Using Human Visual DOG Model Fused With Random Forest
inferredcites →https://doi.org/10.1109/tip.2016.2545863openalex-snapshot
A Novel Image Quality Assessment With Globally and Locally Consilient Visual Quality Perception
inferredcites →https://doi.org/10.1109/tip.2017.2760518openalex-snapshot
Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment
inferredcites →https://doi.org/10.1109/tpami.2020.3045810openalex-snapshot
Image Quality Assessment: Unifying Structure and Texture Similarity
inferredcites →https://doi.org/10.1117/1.1455011openalex-snapshot
Statistical evaluation of image quality measures
inferredcites →https://doi.org/10.1117/1.3267105openalex-snapshot
Most apparent distortion: full-reference image quality assessment and the role of strategy
inferredcites →https://doi.org/10.1145/3388818openalex-snapshot
Proceedings of the 2020 2nd International Conference on Image, Video and Signal Processing
inferredcites →https://doi.org/10.1145/3388818.3388828openalex-snapshot
No-reference Image Quality Assessment Based on a Multi-feature Extraction Network
inferredcites →https://doi.org/10.1145/3414837openalex-snapshot
Blind Image Quality Assessment by Natural Scene Statistics and Perceptual Characteristics
inferredcites →https://doi.org/10.1145/3447393openalex-snapshot
Full-reference Screen Content Image Quality Assessment by Fusing Multilevel Structure Similarity
inferredcites →https://doi.org/10.1145/3457905openalex-snapshot
Perceptual Quality Assessment of Low-light Image Enhancement
inferredcites →https://doi.org/10.1145/3468872openalex-snapshot
Precise No-Reference Image Quality Evaluation Based on Distortion Identification
inferredcites →https://doi.org/10.1145/3491229openalex-snapshot
Objective Object Segmentation Visual Quality Evaluation: Quality Measure and Pooling Method
inferredcites →https://doi.org/10.1145/3505244openalex-snapshot
Transformers in Vision: A Survey

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s00521-023-09188-3openalex-snapshot
Lightweight transformer and multi-head prediction network for no-reference image quality assessment
inferred← citeshttps://doi.org/10.1007/s00530-025-01748-yopenalex-snapshot
DSFAT: a dual-stream framework assisted by textual information for person re-identification in real scenes
inferred← citeshttps://doi.org/10.1016/j.displa.2025.103207openalex-snapshot
No-reference image quality assessment based on multi-scale dynamic modulation and degradation information
inferred← citeshttps://doi.org/10.1016/j.engappai.2024.109594openalex-snapshot
Three-branch neural network for No-Reference Quality assessment of Pan-Sharpened Images
inferred← citeshttps://doi.org/10.1016/j.eswa.2024.125008openalex-snapshot
Dual-attention pyramid transformer network for No-Reference Image Quality Assessment
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130385openalex-snapshot
Misalignment-tolerant perceptual similarity metric for full reference image dehazing quality assessment
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.131011openalex-snapshot
Multi-scale and global feature fusion network with multiple attentions for no-reference image quality assessment
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113435openalex-snapshot
Contrastive learning for anomaly detection in hierarchical subgraph
inferred← citeshttps://doi.org/10.1016/j.neucom.2025.130003openalex-snapshot
Texture dominated no-reference quality assessment for high resolution image by multi-scale mechanism
inferred← citeshttps://doi.org/10.1093/comjnl/bxae065openalex-snapshot
Pornographic video detection based on semantic and image enhancement
inferred← citeshttps://doi.org/10.1109/access.2024.3506273openalex-snapshot
IQA Vision Transformed: A Survey of Transformer Architectures in Perceptual Image Quality Assessment
inferred← citeshttps://doi.org/10.1109/cvprw67362.2025.00081openalex-snapshot
STAPLE: Siamese Transformer Assisted Pseudo Label Ensembling for Unsupervised Domain Adaptation in No-Reference IQA
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10888456openalex-snapshot
Attention-Enhanced Feature Fusion Network for No-Reference Image Quality Assessment
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890249openalex-snapshot
Artistic Image Aesthetics Assessment Assisted by Photographic Visual Attributes
inferred← citeshttps://doi.org/10.1109/icftic64248.2024.10913030openalex-snapshot
CPS-Net: Segmentation Network Based on Feature Fusion and Siamese
inferred← citeshttps://doi.org/10.1109/ijcnn60899.2024.10651229openalex-snapshot
Integrating Subjective and Objective Features for Image Aesthetics Assessment
inferred← citeshttps://doi.org/10.1109/jiot.2025.3574148openalex-snapshot
Unifying Statistical and Refined Semantic Features for Lightweight No-Reference Image Quality Assessment
inferred← citeshttps://doi.org/10.1109/jiot.2026.3697981openalex-snapshot
BadIQA: Backdoor Attack Against No-Reference Image Quality Assessment Models
inferred← citeshttps://doi.org/10.1109/jiot.2026.3701690openalex-snapshot
Semantic-Guided Channel Cross-Attention Integration Network for No-Reference Image Quality Assessment
inferred← citeshttps://doi.org/10.1109/tip.2024.3390565openalex-snapshot
Graph-Represented Distribution Similarity Index for Full-Reference Image Quality Assessment
inferred← citeshttps://doi.org/10.1109/tmm.2024.3459637openalex-snapshot
Deep Mutual Distillation for Unsupervised Domain Adaptation Person Re-Identification
inferred← citeshttps://doi.org/10.1117/1.jei.33.1.013011openalex-snapshot
Robust video hashing based on deep feature and quaternion generic Fourier descriptor for copy detection
inferred← citeshttps://doi.org/10.1142/s0218488524400130openalex-snapshot
A Video Action Recognition Method via Dual-Stream Feature Fusion Neural Network with Attention
inferred← citeshttps://doi.org/10.1145/3626772.3657833openalex-snapshot
M 2 -RAAP: A Multi-Modal Recipe for Advancing Adaptation-based Pre-training towards Effective and Efficient Zero-shot Video-text Retrieval
inferred← citeshttps://doi.org/10.1145/3650112openalex-snapshot
Robust Image Hashing via CP Decomposition and DCT for Copy Detection
inferred← citeshttps://doi.org/10.1145/3652583.3657610openalex-snapshot
Unifying Pictorial and Textual Features for Screen Content Image Quality Evaluation
inferred← citeshttps://doi.org/10.1145/3661725.3661781openalex-snapshot
Large Model based Sequential Keyframe Extraction for Video Summarization
inferred← citeshttps://doi.org/10.1145/3687129openalex-snapshot
Knowledge Guided Transformer Network for Compositional Zero-Shot Learning
inferred← citeshttps://doi.org/10.1145/3712597openalex-snapshot
Learning from Orthogonal Space with Multimodal Large Models for Generalized Few-shot Segmentation
inferred← citeshttps://doi.org/10.1145/3843233openalex-snapshot
FR-IQA: Joint Perceptual Degradation in Collaborative Feature Refinement
inferred← citeshttps://doi.org/10.3390/bdcc10010011openalex-snapshot
NovAc-DL: Novel Activity Recognition Based on Deep Learning in the Real-Time Environment
inferred← citeshttps://doi.org/10.3390/bdcc8090100openalex-snapshot
A Trusted Supervision Paradigm for Autonomous Driving Based on Multimodal Data Authentication
inferred← citeshttps://doi.org/10.3390/fi17120558openalex-snapshot
Graph-SENet: An Unsupervised Learning-Based Graph Neural Network for Skeleton Extraction from Point Cloud
inferred← citeshttps://doi.org/10.69560/cujast.1843247openalex-snapshot
A Siamese Neural Network-Based Perceptual Quality Metric for Image and Video Assessment
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