Papers › Cascaded Sparse Feature Propagation Network for Interactive Segmentation
Cascaded Sparse Feature Propagation Network for Interactive Segmentation
Chuyu Zhang, Chuanyang Hu, Hui Ren, Yongfei Liu, Xuming He
We aim to tackle the problem of point-based interactive segmentation, in which the key challenge is to propagate the user-provided annotations to unlabeled regions efficiently. Existing methods tackle this challenge by utilizing computationally expensive fully connected graphs or transformer architectures that sacrifice important fine-grained information required for accurate segmentation. To overcome these limitations, we propose a cascade sparse feature propagation network that learns a click-augmented feature representation for propagating user-provided information to unlabeled regions. The sparse design of our network enables efficient information propagation on high-resolution features, resulting in more detailed object segmentation. We validate the effectiveness of our method through comprehensive experiments on various benchmarks, and the results demonstrate the superior performance of our approach. Code is available at \href{https://github.com/kleinzcy/CSFPN}{https://github.com/kleinzcy/CSFPN}.
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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 | IA-FP-Net(HRNet, C+L) | NoC@90 | 2.12 | #6 of 14 | Archive leaderboard | report |
| Interactive Segmentation | DAVIS | IA-FP-Net | NoC@85 | 4.03 | #5 of 15 | Archive leaderboard | report |
| Interactive Segmentation | DAVIS | IA-FP-Net | NoC@90 | 5.22 | #5 of 15 | Archive leaderboard | report |
| Interactive Segmentation | GrabCut | IA-FP-Net | NoC@90 | 1.68 | #7 of 18 | Archive leaderboard | report |
| Interactive Segmentation | SBD | IA-FP-Net(HRNet,SBD) | NoC@85 | 3.33 | #4 of 14 | Archive leaderboard | report |
| Interactive Segmentation | SBD | IA-FP-Net(HRNet,SBD) | NoC@90 | 5.25 | #4 of 14 | 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.
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