mlsanityData to 7 Oct 2026

ExFuse: Enhancing Feature Fusion for Semantic Segmentation

arXiv 1804.03821 ↗First posted 11 Apr 2018cs.CVcited by 41

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Abstract (arXiv)

Modern semantic segmentation frameworks usually combine low-level and high-level features from pre-trained backbone convolutional models to boost performance. In this paper, we first point out that a simple fusion of low-level and high-level features could be less effective because of the gap in semantic levels and spatial resolution. We find that introducing semantic information into low-level features and high-resolution details into high-level features is more effective for the later fusion. Based on this observation, we propose a new framework, named ExFuse, to bridge the gap between low-level and high-level features thus significantly improve the segmentation quality by 4.0% in total. Furthermore, we evaluate our approach on the challenging PASCAL VOC 2012 segmentation benchmark and achieve 87.9% mean IoU, which outperforms the previous state-of-the-art results.

Key facts. Cited by 41 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Apr 2018.

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Citing papers per year: 2021: 10; 2022: 10; 2023: 7; 2024: 6; 2025: 6; 2026: 2.

41 papers.

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  1. 2021Full-Duplex Strategy for Video Object Segmentationcited by 78
  2. 2024Frequency-aware Feature Fusion for Dense Image Predictioncited by 48
  3. 2023Unmasking Anomalies in Road-Scene Segmentationcited by 45
  4. 2022Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentationcited by 37
  5. 2021TRACER: Extreme Attention Guided Salient Object Tracing Networkcited by 32
  6. 2021Looking Outside the Window: Wide-Context Transformer for the Semantic Segmentation of High-Resolution Remote Sensing Imagescited by 27
  7. 2021GraphFPN: Graph Feature Pyramid Network for Object Detectioncited by 25
  8. 2023Image Data Augmentation Approaches: A Comprehensive Survey and Future directionscited by 23
  9. 2025Frequency Dynamic Convolution for Dense Image Predictioncited by 19
  10. 2022Continual Attentive Fusion for Incremental Learning in Semantic Segmentationcited by 15
  11. 2021Detecting Anomalies in Semantic Segmentation with Prototypescited by 13
  12. 2021Tilted Cross Entropy (TCE): Promoting Fairness in Semantic Segmentationcited by 12
29 more
  1. 2023Gated Multi-Resolution Transfer Network for Burst Restoration and Enhancementcited by 11
  2. 2022AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentationcited by 10
  3. 2022FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsingcited by 9
  4. 2021Global Aggregation then Local Distribution for Scene Parsingcited by 8
  5. 2024Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentationcited by 7
  6. 2024Adapting Segment Anything Model to Multi-modal Salient Object Detection with Semantic Feature Fusion Guidancecited by 6
  7. 2023Learning Global-aware Kernel for Image Harmonizationcited by 4
  8. 2024ALPS: An Auto-Labeling and Pre-training Scheme for Remote Sensing Segmentation With Segment Anything Modelcited by 4
  9. 2022Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecturecited by 3
  10. 2022U-HRNet: Delving into Improving Semantic Representation of High Resolution Network for Dense Predictioncited by 3
  11. 2023Coupling Global Context and Local Contents for Weakly-Supervised Semantic Segmentationcited by 3
  12. 2022Modeling the Background for Incremental and Weakly-Supervised Semantic Segmentationcited by 2
  13. 2022MMFL-Net: Multi-scale and Multi-granularity Feature Learning for Cross-domain Fashion Retrievalcited by 2
  14. 2024EFCNet: Every Feature Counts for Small Medical Object Segmentationcited by 2
  15. 2024Training-Free Point Cloud Recognition Based on Geometric and Semantic Information Fusioncited by 2
  16. 2025PathFL: Multi-Alignment Federated Learning for Pathology Image Segmentationcited by 2
  17. 2021Dilated SpineNet for Semantic Segmentationcited by 1
  18. 2023LCCo: Lending CLIP to Co-Segmentationcited by 1
  19. 2025Temporal-consistent CAMs for Weakly Supervised Video Segmentation in Waste Sortingcited by 1
  20. 2025ClassWise-CRF: Category-Specific Fusion for Enhanced Semantic Segmentation of Remote Sensing Imagerycited by 1
  21. 2026Difference-Driven Gating: Adaptive Feature Fusion for U-Net Decodercited by 1
  22. 2021Two-Step Image Dehazing with Intra-domain and Inter-domain Adaptationcited by 0
  23. 2021FBNet: Feature Balance Network for Urban-Scene Segmentationcited by 0
  24. 2022Delving into Transformer for Incremental Semantic Segmentationcited by 0
  25. 2022L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmentercited by 0
  26. 2023HGT: A Hierarchical GCN-Based Transformer for Multimodal Periprosthetic Joint Infection Diagnosis Using CT Images and Textcited by 0
  27. 2025ViG3D-UNet: Volumetric Vascular Connectivity-Aware Segmentation via 3D Vision Graph Representationcited by 0
  28. 2025CORE-ReID V2: Advancing the Domain Adaptation for Object Re-Identification with Optimized Training and Ensemble Fusioncited by 0
  29. 2026DTC: A Deformable Transposed Convolution Module for Medical Image Segmentationcited by 0