mlsanityData to 7 Oct 2026

CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondence

arXiv 2101.01308 ↗First posted 5 Jan 2021cs.CVcited by 19

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Abstract (arXiv)

Image co-segmentation is an active computer vision task that aims to segment the common objects from a set of images. Recently, researchers design various learning-based algorithms to undertake the co-segmentation task. The main difficulty in this task is how to effectively transfer information between images to make conditional predictions. In this paper, we present CycleSegNet, a novel framework for the co-segmentation task. Our network design has two key components: a region correspondence module which is the basic operation for exchanging information between local image regions, and a cycle refinement module, which utilizes ConvLSTMs to progressively update image representations and exchange information in a cycle and iterative manner. Extensive experiments demonstrate that our proposed method significantly outperforms the state-of-the-art methods on four popular benchmark datasets -- PASCAL VOC dataset, MSRC dataset, Internet dataset, and iCoseg dataset, by 2.6%, 7.7%, 2.2%, and 2.9%, respectively.

Key facts. Cited by 19 papers in the map (data through 7 Oct 2026). Builds on 29 of its 71 references that are in the map. First posted on arXiv 5 Jan 2021.

Builds on

29 of 71 references.

References · 29

  1. 2015Deep Residual Learning for Image Recognitioncited by 51,809
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  3. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  4. 2014Microsoft COCO: Common Objects in Contextcited by 17,498
  5. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  6. 2017Mask R-CNNcited by 7,259
  7. 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
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17 more
  1. 2019CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learningcited by 217
  2. 2018Learning a Discriminative Feature Network for Semantic Segmentationcited by 114
  3. 2020CRNet: Cross-Reference Networks for Few-Shot Segmentationcited by 101
  4. 2020Zero-Shot Video Object Segmentation via Attentive Graph Neural Networkscited by 84
  5. 2018Weakly-Supervised Semantic Segmentation by Iteratively Mining Common Object Featurescited by 81
  6. 2020Re-thinking Co-Salient Object Detectioncited by 54
  7. 2020DeepEMD: Differentiable Earth Mover's Distance for Few-Shot Learningcited by 49
  8. 2018Deep Object Co-Segmentationcited by 35
  9. 2019Interactive segmentation of medical images through fully convolutional neural networkscited by 29
  10. 2018Coarse-to-fine Semantic Segmentation from Image-level Labelscited by 28
  11. 2019Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentationcited by 20
  12. 2017Stacked Deconvolutional Network for Semantic Segmentationcited by 18
  13. 2017Group-wise Deep Co-saliency Detectioncited by 15
  14. 2018Semantic Aware Attention Based Deep Object Co-segmentationcited by 15
  15. 2019Deep Object Co-segmentation via Spatial-Semantic Network Modulationcited by 15
  16. 2020Compositional Prototype Network with Multi-view Comparision for Few-Shot Point Cloud Semantic Segmentationcited by 12
  17. 2017Recurrent Segmentation for Variable Computational Budgetscited by 3

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Citing papers per year: 2021: 5; 2022: 7; 2023: 3; 2024: 3; 2025: 1.

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  1. 2021Deep ViT Features as Dense Visual Descriptorscited by 327
  2. 2021Few-Shot Incremental Learning with Continually Evolved Classifierscited by 184
  3. 2022ReCo: Retrieve and Co-segment for Zero-shot Transfercited by 115
  4. 2023Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Modelcited by 52
  5. 2022A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detectioncited by 51
  6. 2022Hierarchical Normalization for Robust Monocular Depth Estimationcited by 51
  7. 2021Few-shot Segmentation with Optimal Transport Matching and Message Flowcited by 36
  8. 2021Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learningcited by 19
  9. 2022GCoNet+: A Stronger Group Collaborative Co-Salient Object Detectorcited by 11
  10. 2022Few-shot Open-set Recognition Using Background as Unknownscited by 6
  11. 2022Towards Stable Co-saliency Detection and Object Co-segmentationcited by 4
  12. 2024CALICO: Part-Focused Semantic Co-Segmentation with Large Vision-Language Modelscited by 4
7 more
  1. 2023Unsupervised Object Localization with Representer Point Selectioncited by 3
  2. 2025Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representationcited by 3
  3. 2023LCCo: Lending CLIP to Co-Segmentationcited by 1
  4. 2024Co-Segmentation without any Pixel-level Supervision with Application to Large-Scale Sketch Classificationcited by 1
  5. 2021Calibrating Class Activation Maps for Long-Tailed Visual Recognitioncited by 0
  6. 2022APES: Articulated Part Extraction from Sprite Sheetscited by 0
  7. 2024Discriminative Consensus Mining with A Thousand Groups for More Accurate Co-Salient Object Detectioncited by 0