mlsanityData to 14 Oct 2026

Dual-Perspective United Transformer for Object Segmentation in Optical Remote Sensing Images

arXiv 2506.21866 ↗First posted 27 Jun 2025cs.CVcited by 5

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Abstract (arXiv)

Automatically segmenting objects from optical remote sensing images (ORSIs) is an important task. Most existing models are primarily based on either convolutional or Transformer features, each offering distinct advantages. Exploiting both advantages is valuable research, but it presents several challenges, including the heterogeneity between the two types of features, high complexity, and large parameters of the model. However, these issues are often overlooked in existing the ORSIs methods, causing sub-optimal segmentation. For that, we propose a novel Dual-Perspective United Transformer (DPU-Former) with a unique structure designed to simultaneously integrate long-range dependencies and spatial details. In particular, we design the global-local mixed attention, which captures diverse information through two perspectives and introduces a Fourier-space merging strategy to obviate deviations for efficient fusion. Furthermore, we present a gated linear feed-forward network to increase the expressive ability. Additionally, we construct a DPU-Former decoder to aggregate and strength features at different layers. Consequently, the DPU-Former model outperforms the state-of-the-art methods on multiple datasets. Code: https://github.com/CSYSI/DPU-Former.

Key facts. Cited by 5 papers in the map (data through 14 Oct 2026). Builds on 24 of its 47 references that are in the map. First posted on arXiv 27 Jun 2025.

Builds on

24 of 47 references.

References · 24

  1. 2015Deep Residual Learning for Image Recognitioncited by 52,096
  2. 2014Very Deep Convolutional Networks for Large-Scale Image Recognitioncited by 15,364
  3. 2021Swin Transformer: Hierarchical Vision Transformer using Shifted Windowscited by 12,139
  4. 2016Feature Pyramid Networks for Object Detectioncited by 5,036
  5. 2018CBAM: Convolutional Block Attention Modulecited by 2,477
  6. 2021Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNetcited by 1,101
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  11. 2017Receptive Field Block Net for Accurate and Fast Object Detectioncited by 141
  12. 2021Salient Object Detection via Integrity Learningcited by 133
12 more
  1. 2021ResT: An Efficient Transformer for Visual Recognitioncited by 79
  2. 2020Dense Attention Fluid Network for Salient Object Detection in Optical Remote Sensing Imagescited by 61
  3. 2019Nested Network with Two-Stream Pyramid for Salient Object Detection in Optical Remote Sensing Imagescited by 51
  4. 2024Frequency-Spatial Entanglement Learning for Camouflaged Object Detectioncited by 46
  5. 2023Adaptive Frequency Filters As Efficient Global Token Mixerscited by 45
  6. 2023A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentationcited by 33
  7. 2023Salient Object Detection in Optical Remote Sensing Images Driven by Transformercited by 17
  8. 2023Lightweight Salient Object Detection in Optical Remote-Sensing Images via Semantic Matching and Edge Alignmentcited by 16
  9. 2022Lightweight Salient Object Detection in Optical Remote Sensing Images via Feature Correlationcited by 15
  10. 2024GLCONet: Learning Multi-source Perception Representation for Camouflaged Object Detectioncited by 10
  11. 2024United Domain Cognition Network for Salient Object Detection in Optical Remote Sensing Imagescited by 7
  12. 2025Lightweight RGB-D Salient Object Detection from a Speed-Accuracy Tradeoff Perspectivecited by 6

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 2; 2026: 3.

5 papers.

  1. 2025Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Expertscited by 9
  2. 2025Beyond Global Scanning: Adaptive Visual State Space Modeling for Salient Object Detection in Optical Remote Sensing Imagescited by 1
  3. 2026ASGNet: Adaptive Spectrum Guidance Network for Automatic Polyp Segmentationcited by 1
  4. 2026IPDiff: Diffusion-driven ORSI Salient Object Detection with Information Reconstruction and Multi-Prior Guidancecited by 1
  5. 2026SPLG-Mamba: Structure-Preserving Local-Global Mamba Network for Salient Object Detection in Optical Remote Sensing Imagescited by 0