Cover Image

MSDS: Deep Structural Similarity with Multiscale Representation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Danling, Chen, Xue-Hua, Liu, Bin, Zhang, Keke, Chen, Weiling, Zhao, Tiesong
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Structural Similarity in Deep Features: Image Quality Assessment Robust to Geometrically Disparate Reference
by: Zhang, Keke, et al.
Published: (2024)

Beyond Fidelity: Semantic Similarity Assessment in Low-Level Image Processing
by: Wang, Runjie, et al.
Published: (2026)

UIF: An Objective Quality Assessment for Underwater Image Enhancement
by: Zheng, Yannan, et al.
Published: (2022)

Intervention-Aware Multiscale Representation Learning from Imaging Phenomics and Perturbation Transcriptomics
by: Chen, Jiayuan, et al.
Published: (2026)

TS3IM: Unveiling Structural Similarity in Time Series through Image Similarity Assessment Insights
by: Liu, Yuhan, et al.
Published: (2024)

Research on Image Recognition Technology Based on Multimodal Deep Learning
by: Wang, Jinyin, et al.
Published: (2024)

Cross-View Graph Consistency Learning for Invariant Graph Representations
by: Chen, Jie, et al.
Published: (2023)

Explaining Deep Convolutional Neural Networks for Image Classification by Evolving Local Interpretable Model-agnostic Explanations
by: Wang, Bin, et al.
Published: (2022)

Region-Point Joint Representation for Effective Trajectory Similarity Learning
by: Long, Hao, et al.
Published: (2025)

Gradient Similarity Surgery in Multi-Task Deep Learning
by: Borsani, Thomas, et al.
Published: (2025)

Learning Semantic Proxies from Visual Prompts for Parameter-Efficient Fine-Tuning in Deep Metric Learning
by: Ren, Li, et al.
Published: (2024)

SGLP: A Similarity Guided Fast Layer Partition Pruning for Compressing Large Deep Models
by: Li, Yuqi, et al.
Published: (2024)

Learning Structured Representations with Hyperbolic Embeddings
by: Sinha, Aditya, et al.
Published: (2024)

Deep Regression Representation Learning with Topology
by: Zhang, Shihao, et al.
Published: (2024)

Mixture of Group Experts for Learning Invariant Representations
by: Kang, Lei, et al.
Published: (2025)

AutoDFP: Automatic Data-Free Pruning via Channel Similarity Reconstruction
by: Li, Siqi, et al.
Published: (2024)

Self-Supervised Scalable Deep Compressed Sensing
by: Chen, Bin, et al.
Published: (2023)

Revisiting Transformation Invariant Geometric Deep Learning: An Initial Representation Perspective
by: Zhang, Ziwei, et al.
Published: (2021)

Consistency Enhancement-Based Deep Multiview Clustering via Contrastive Learning
by: Yang, Hao, et al.
Published: (2024)

Structure by Architecture: Structured Representations without Regularization
by: Leeb, Felix, et al.
Published: (2020)

From Intent to Execution: Multimodal Chain-of-Thought Reinforcement Learning for Precise CAD Code Generation
by: Niu, Ke, et al.
Published: (2025)

Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints
by: Yuan, Jinyang, et al.
Published: (2024)

VTBench: A Multimodal Framework for Time-Series Classification with Chart-Based Representations
by: Venkatesan, Madhumitha, et al.
Published: (2026)

BAHOP: Similarity-based Basin Hopping for A fast hyper-parameter search in WSI classification
by: Wang, Jun, et al.
Published: (2024)

Learning Topological Representations for Deep Image Understanding
by: Hu, Xiaoling
Published: (2024)

Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
by: Wang, Lei, et al.
Published: (2024)

CORP: Closed-Form One-shot Representation-Preserving Structured Pruning for Transformers
by: Zhang, Boxiang, et al.
Published: (2026)

Inductive Gradient Adjustment For Spectral Bias In Implicit Neural Representations
by: Shi, Kexuan, et al.
Published: (2024)

URLOST: Unsupervised Representation Learning without Stationarity or Topology
by: Yun, Zeyu, et al.
Published: (2023)

DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities
by: Islam, Chashi Mahiul, et al.
Published: (2025)

Denoising Autoregressive Representation Learning
by: Li, Yazhe, et al.
Published: (2024)

Laplacian Multi-scale Flow Matching for Generative Modeling
by: Zhao, Zelin, et al.
Published: (2026)

Structuring GUI Elements through Vision Language Models: Towards Action Space Generation
by: Xu, Yi, et al.
Published: (2025)

Silhouette Loss: Differentiable Global Structure Learning for Deep Representations
by: Todescato, Matheus Vinícius, et al.
Published: (2026)

Feature-Space Smoothing: Certified Robustness of Deep Representations
by: Xia, Song, et al.
Published: (2026)

SARMAE: Masked Autoencoder for SAR Representation Learning
by: Liu, Danxu, et al.
Published: (2025)

From Discrete to Continuous: Deep Fair Clustering With Transferable Representations
by: Zhang, Xiang
Published: (2024)

An Experimental Study of Semantic Continuity for Deep Learning Models
by: Wu, Shangxi, et al.
Published: (2020)

More is Better: Deep Domain Adaptation with Multiple Sources
by: Zhao, Sicheng, et al.
Published: (2024)

GMValuator: Similarity-based Data Valuation for Generative Models
by: Yang, Jiaxi, et al.
Published: (2023)