mlsanityData to 7 Oct 2026

Deep Object Co-Segmentation

arXiv 1804.06423 ↗First posted 17 Apr 2018cs.CVcited by 35

Not on the map. Why?

Abstract (arXiv)

This work presents a deep object co-segmentation (DOCS) approach for segmenting common objects of the same class within a pair of images. This means that the method learns to ignore common, or uncommon, background stuff and focuses on objects. If multiple object classes are presented in the image pair, they are jointly extracted as foreground. To address this task, we propose a CNN-based Siamese encoder-decoder architecture. The encoder extracts high-level semantic features of the foreground objects, a mutual correlation layer detects the common objects, and finally, the decoder generates the output foreground masks for each image. To train our model, we compile a large object co-segmentation dataset consisting of image pairs from the PASCAL VOC dataset with common objects masks. We evaluate our approach on commonly used datasets for co-segmentation tasks and observe that our approach consistently outperforms competing methods, for both seen and unseen object classes.

Key facts. Cited by 35 papers in the map (data through 7 Oct 2026). First posted on arXiv 17 Apr 2018.

Builds on

No reference list yet.

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2021: 10; 2022: 10; 2023: 6; 2024: 3; 2025: 5; 2026: 1.

35 papers.

Sort:

By area:

  1. 2023Emergent Correspondence from Image Diffusioncited by 437
  2. 2021Deep ViT Features as Dense Visual Descriptorscited by 327
  3. 2022ReCo: Retrieve and Co-segment for Zero-shot Transfercited by 115
  4. 2024DreamScene360: Unconstrained Text-to-3D Scene Generation with Panoramic Gaussian Splattingcited by 81
  5. 2022NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenescited by 71
  6. 2023Jack of All Tasks, Master of Many: Designing General-purpose Coarse-to-Fine Vision-Language Modelcited by 52
  7. 2022A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detectioncited by 51
  8. 2022Learning to Detect Mobile Objects from LiDAR Scans Without Labelscited by 44
  9. 2022Towards Open-Set Object Detection and Discoverycited by 44
  10. 2021CycleSegNet: Object Co-segmentation with Cycle Refinement and Region Correspondencecited by 19
  11. 2021Blind Image Decompositioncited by 18
  12. 2021Learning Co-segmentation by Segment Swapping for Retrieval and Discoverycited by 15
23 more
  1. 2022GCoNet+: A Stronger Group Collaborative Co-Salient Object Detectorcited by 11
  2. 2023Co-Salient Object Detection with Co-Representation Purificationcited by 9
  3. 2021Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videoscited by 8
  4. 2023Collaborative Camouflaged Object Detection: A Large-Scale Dataset and Benchmarkcited by 8
  5. 2021Few-shot Weakly-Supervised Object Detection via Directional Statisticscited by 4
  6. 2022Towards Stable Co-saliency Detection and Object Co-segmentationcited by 4
  7. 2025SmokeBench: Evaluating Multimodal Large Language Models for Wildfire Smoke Detectioncited by 4
  8. 2023Unsupervised Object Localization with Representer Point Selectioncited by 3
  9. 2025Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representationcited by 3
  10. 2025Pairwise Matching of Intermediate Representations for Fine-grained Explainabilitycited by 3
  11. 2021Co-segmentation Inspired Attention Module for Video-based Computer Vision Taskscited by 1
  12. 2023LCCo: Lending CLIP to Co-Segmentationcited by 1
  13. 2024Co-Segmentation without any Pixel-level Supervision with Application to Large-Scale Sketch Classificationcited by 1
  14. 2021Improving Image co-segmentation via Deep Metric Learningcited by 0
  15. 2021Single Stage Class Agnostic Common Object Detection: A Simple Baselinecited by 0
  16. 2021A Dense Siamese U-Net trained with Edge Enhanced 3D IOU Loss for Image Co-segmentationcited by 0
  17. 2022ASOC: Adaptive Self-aware Object Co-localizationcited by 0
  18. 2022Comprehensive Saliency Fusion for Object Co-segmentationcited by 0
  19. 2022RL-CoSeg : A Novel Image Co-Segmentation Algorithm with Deep Reinforcement Learningcited by 0
  20. 2024Discriminative Consensus Mining with A Thousand Groups for More Accurate Co-Salient Object Detectioncited by 0
  21. 2025Deep semi-supervised approach based on consistency regularization and similarity learning for weeds classificationcited by 0
  22. 2025Multi-Part Object Representations via Graph Structures and Co-Part Discoverycited by 0
  23. 2026AusSmoke meets MultiNatSmoke: a fully-labelled diverse smoke segmentation datasetcited by 0