Papers › EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow
EdgeFlow: Achieving Practical Interactive Segmentation with Edge-Guided Flow
Yuying Hao, Yi Liu, Zewu Wu, Lin Han, Yizhou Chen, Guowei Chen, Lutao Chu, Shiyu Tang, Zhiliang Yu, Zeyu Chen, Baohua Lai
High-quality training data play a key role in image segmentation tasks. Usually, pixel-level annotations are expensive, laborious and time-consuming for the large volume of training data. To reduce labelling cost and improve segmentation quality, interactive segmentation methods have been proposed, which provide the result with just a few clicks. However, their performance does not meet the requirements of practical segmentation tasks in terms of speed and accuracy. In this work, we propose EdgeFlow, a novel architecture that fully utilizes interactive information of user clicks with edge-guided flow. Our method achieves state-of-the-art performance without any post-processing or iterative optimization scheme. Comprehensive experiments on benchmarks also demonstrate the superiority of our method. In addition, with the proposed method, we develop an efficient interactive segmentation tool for practical data annotation tasks. The source code and tool is avaliable at https://github.com/PaddlePaddle/PaddleSeg.
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Code
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Code Syntology ran Syntology
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Tasks
Results from the paper archive 2025-07-28
| Task | Dataset | Model | Metric | Value | Rank at snapshot | Leaderboard | Report |
|---|---|---|---|---|---|---|---|
| Interactive Segmentation | Berkeley | EdgeFlow | NoC@90 | 2.4 | #8 of 14 | Archive leaderboard | report |
| Interactive Segmentation | DAVIS | EdgeFlow | NoC@85 | 4.54 | #9 of 15 | Archive leaderboard | report |
| Interactive Segmentation | DAVIS | EdgeFlow | NoC@90 | 5.77 | #9 of 15 | Archive leaderboard | report |
| Interactive Segmentation | GrabCut | EdgeFlow | NoC@85 | 1.6 | #8 of 18 | Archive leaderboard | report |
| Interactive Segmentation | GrabCut | EdgeFlow | NoC@90 | 1.72 | #8 of 18 | Archive leaderboard | report |
| Interactive Segmentation | PASCAL VOC | EdgeFlow | NoC@85 | 2.5 | #2 of 2 | Archive leaderboard | report |
Ranks are positions in the archive's leaderboards as they stood at the 2025-07-28 snapshot. Results published since then are not among these rows, so a rank here is not a current standing.
Methods
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