Overview

Multi-scale attention studies how models can combine fine-grained features with broader context across image regions, feature-pyramid levels, or time windows. Common approaches include hierarchical and window-based attention, cross-scale feature fusion, and efficient linear attention that allocates computation across resolutions. These methods are used in tasks such as object detection and segmentation on benchmarks like COCO and ADE20K, as well as time-series forecasting and sequence modeling. A central challenge is aligning useful information across scales while controlling computation, and gains must be tested across varied datasets and settings.

Latest papers

CardsList

39 papers7 papers in the last four weeks, up 133% on the four weeks before. 0.0% of all new papers.

  1. ACSAN: All-Convolutional Self-Attention Network Integrating Convolutional Operations with Vision Transformer

    Oct 26, 2026Zimian Wei, Tianqi Zhang, Hengyue PanHybrid CNN-Transformer ArchitecturesEfficient ViTs

  2. Cross-Scale Sparse Attention for Referring Segmentation in Remote Sensing

    Oct 24, 2026Yuxi Li, Lu Si, Xia Liao +4Referring Image SegmentationRemote Sensing Image Segmentation

  3. DST-Net: Decomposed Spatio-Temporal Network for Time Series Forecasting

    Oct 15, 2026Yaohua Zha, Hai Wu, Shu-Tao XiaTime Series ForecastingMultivariate Time Series Forecasting

  4. MIST: Multi-Scale Spatial Context for Gene Expression Prediction from Histology

    Oct 13, 2026Koushik Howlader, Tirtho Roy, Md Tauhidul Islam +1Spatial Context ModelingSpatial Gene Expression Prediction

  5. SANet: Selective Attention Network for Infrared Small Target Detection

    Oct 7, 2026Yingmei Zhang, Wangtao Bao, Qin Xiao +5Small Object DetectionInfrared Small Target Detection

  6. Self-attention summary networks for subsurface velocity-model building from common-image gathers

    Oct 7, 2026Shiqin Zeng, Yunlin Zeng, Abhinav Prakash Gahlot +2Seismic ImagingInverse Problems

  7. No Scale Left Behind: Multi-Scale Autoencoder with Bi-directional Attention for Time Series Anomaly Detection

    Sep 29, 2026Jiaheng Guo, Haochen Zhang, Yu-Chao Huang +3Reconstruction-Based Anomaly DetectionAttention Mechanisms

  8. MS-GLA: Multi-Scale Gated Linear Attention for Addressing Representational Bottlenecks via Multi-Temporal Resolution

    Sep 28, 2026Prasoon Dev, Anirudh Sankar, Vasudeva VarmaLong-Context Language ModelingGated Attention

  9. Progressive Memory Transformer: Memory-Aware Attention for Time-Series

    Sep 25, 2026Tord Sture Stangeland, Andreas Köhler, Steffen Mæland +1Self-Supervised Time Series Representation LearningTemporal Representation Learning

  10. MSCA-UNet: Multi-Scale Context and Attention U-Net for Image Segmentation

    Sep 6, 2026Sheng-Wei ChanImage SegmentationU-Net

  11. EMCStereo: Attention-Enhanced Stereo Matching for Thin-Structure Depth Estimation with a Synthetic Tree-Branch Benchmark

    Sep 2, 2026Yida Lin, Bing Xue, Mengjie Zhang +2Depth EstimationStereo Matching

  12. HSMLA: Hierarchical Softmax Multi-scale Linear Attention for Efficient Vision Transformers

    Aug 7, 2026Dong Liu, Yanxuan Yu, Renata Borovica-Gajic +2Efficient ViTsLinear Attention

  13. Low-light Image Enhancement via Multi-scale Attention combined with Fourier Transform

    Jul 27, 2026Wenbin Du, Jian Long, Zhu CaoFrequency-Domain Feature LearningLow-Light Image Enhancement

  14. Ms. Forcing: Efficient Streaming Video Generation with Multi-Scale Patchification and Attention

    Jul 23, 2026Zekun Li, Xiaoyan Cong, Hongyu Li +5Video Diffusion ModelsLong-Horizon Video Generation

  15. Context-Guided Semantic Alignment for Feature Fusion Networks

    Jun 12, 2026Hyungseop Lee, Jiho Lee, Woochul KangMulti-Scale Feature FusionObject Detection

  16. An End-to-End Decision-Aware Multi-Scale Attention-Based Model for Explainable Autonomous Driving

    Apr 30, 2026Maryam Sadat Hosseini Azad, Shahriar Baradaran Shokouhi, Amir Abbas Hamidi Imani +2Explainable Artificial IntelligenceAutonomous Driving

  17. IMPA-Net: Meteorology-Aware Multi-Scale Attention and Dynamic Loss for Extreme Convective Radar Nowcasting

    Apr 27, 2026Haofei Cui, Guangxin He, Juanzhen Sun +5Precipitation ForecastingMulti-Scale Feature Fusion

  18. Multi-modal, multi-scale representation learning for satellite imagery analysis just needs a good ALiBi

    Apr 11, 2026Patrick Kage, Pavlos AndreadisRepresentation LearningRemote Sensing Image Understanding

  19. A3-FPN: Asymptotic Content-Aware Pyramid Attention Network for Dense Visual Prediction

    Apr 11, 2026Meng'en Qin, Yu Song, Quanling Zhao +3Dense PredictionMulti-Scale Feature Fusion

  20. Hierarchical Kernel Transformer: Multi-Scale Attention with an Information-Theoretic Approximation Analysis

    Apr 10, 2026Giansalvo CirrincioneAttention ApproximationTransformer Attention

  21. Generative 3D Gaussian Splatting for Arbitrary-ResolutionAtmospheric Downscaling and Forecasting

    Apr 9, 2026Tao Han, Zhibin Wen, Zhenghao Chen +4Weather Forecasting3D Gaussian Splatting

  22. MSGL-Transformer: A Multi-Scale Global-Local Transformer for Rodent Social Behavior Recognition

    Apr 8, 2026Muhammad Imran Sharif, Doina CarageaAnimal Behavior AnalysisTransformer

  23. Skillful Kilometer-Scale Regional Weather Forecasting via Global and Regional Coupling

    Mar 30, 2026Weiqi Chen, Wenwei Wang, Qilong Yuan +5Weather ForecastingMulti-Scale Feature Fusion

  24. FSGNet: A Frequency-Aware and Semantic Guidance Network for Infrared Small Target Detection

    Mar 26, 2026Yingmei Zhang, Wangtao Bao, Yong Yang +3Infrared Small Target DetectionObject Detection

  25. GradAttn: Replacing Fixed Residual Connections with Task-Modulated Attention Pathways

    Mar 23, 2026Soudeep Ghoshal, Himanshu BuckchashConvolutional Neural NetworksAttention Residual Connections