Papers › Boundary-Aware Feature Propagation for Scene Segmentation

Boundary-Aware Feature Propagation for Scene Segmentation

31 Aug 2019ICCV 2019 10arXiv:1909.00179archive 2025-07-28

Henghui Ding, Xudong Jiang, Ai Qun Liu, Nadia Magnenat Thalmann, Gang Wang

In this work, we address the challenging issue of scene segmentation. To increase the feature similarity of the same object while keeping the feature discrimination of different objects, we explore to propagate information throughout the image under the control of objects' boundaries. To this end, we first propose to learn the boundary as an additional semantic class to enable the network to be aware of the boundary layout. Then, we propose unidirectional acyclic graphs (UAGs) to model the function of undirected cyclic graphs (UCGs), which structurize the image via building graphic pixel-by-pixel connections, in an efficient and effective way. Furthermore, we propose a boundary-aware feature propagation (BFP) module to harvest and propagate the local features within their regions isolated by the learned boundaries in the UAG-structured image. The proposed BFP is capable of splitting the feature propagation into a set of semantic groups via building strong connections among the same segment region but weak connections between different segment regions. Without bells and whistles, our approach achieves new state-of-the-art segmentation performance on three challenging semantic segmentation datasets, i.e., PASCAL-Context, CamVid, and Cityscapes.

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conv3x3 henghuiding/BFP/utils/dilated/resnet.py official repository ran · our draft was wrong MIT (permissive) · fac5364e2f53c6db · report
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test_batchify_fn henghuiding/BFP/utils/datasets/base.py official repository unverified MIT (permissive) · f8b881dae14f02c3 · report

Tasks

Scene SegmentationSegmentationSemantic Segmentation

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Semantic Segmentation Cityscapes test BFP Mean IoU (class) 81.4% #42 of 105 Archive leaderboard report
Semantic Segmentation PASCAL Context BFP mIoU 53.6 #41 of 66 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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