Papers › FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

16 Aug 2021ICCV 2021 10arXiv:2108.07058archive 2025-07-28

Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He

Recent advancements in deep neural networks have made remarkable leap-forwards in dense image prediction. However, the issue of feature alignment remains as neglected by most existing approaches for simplicity. Direct pixel addition between upsampled and local features leads to feature maps with misaligned contexts that, in turn, translate to mis-classifications in prediction, especially on object boundaries. In this paper, we propose a feature alignment module that learns transformation offsets of pixels to contextually align upsampled higher-level features; and another feature selection module to emphasize the lower-level features with rich spatial details. We then integrate these two modules in a top-down pyramidal architecture and present the Feature-aligned Pyramid Network (FaPN). Extensive experimental evaluations on four dense prediction tasks and four datasets have demonstrated the efficacy of FaPN, yielding an overall improvement of 1.2 - 2.6 points in AP / mIoU over FPN when paired with Faster / Mask R-CNN. In particular, our FaPN achieves the state-of-the-art of 56.7% mIoU on ADE20K when integrated within Mask-Former. The code is available from https://github.com/EMI-Group/FaPN.

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EMI-Group/FaPN officialmentioned in papermentioned on GitHubpytorchApache-2.0 report
ShihuaHuang95/FaPN-full mentioned on GitHubpytorch report
sithu31296/semantic-segmentation mentioned on GitHubpytorch report

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DCNv2 sithu31296/semantic-segmentation/semseg/models/heads/fapn.py community (archive-listed) ran · metamorphic tier: invariant MIT (permissive) · fa63073a461ed9bb · report
FSM sithu31296/semantic-segmentation/semseg/models/heads/fapn.py community (archive-listed) ran · metamorphic tier: invariant fingerprinted MIT (permissive) · 0fc5498c9607c95d · report
FAM sithu31296/semantic-segmentation/semseg/models/heads/fapn.py community (archive-listed) unverified MIT (permissive) · bf0a960709e48814 · report
FaPNHead sithu31296/semantic-segmentation/semseg/models/heads/fapn.py community (archive-listed) unverified MIT (permissive) · 3f42be460dc63825 · report

Tasks

PredictionSemantic Segmentationfeature selection

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Semantic Segmentation ADE20K FaPN (MaskFormer, Swin-L, ImageNet-22k pretrain) Validation mIoU 56.7 #38 of 235 Archive leaderboard report
Semantic Segmentation ADE20K val FaPN (MaskFormer, Swin-L, ImageNet-22k pretrain) mIoU 56.7 #24 of 95 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

1x1 ConvolutionConvolutionFPNFeature SelectionMask R-CNNRPNRoIAlignSoftmax

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