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A Unified Transformer Framework for Group-based Segmentation: Co-Segmentation, Co-Saliency Detection and Video Salient Object Detection

9 Mar 2022arXiv:2203.04708archive 2025-07-28

Yukun Su, Jingliang Deng, Ruizhou Sun, Guosheng Lin, Qingyao Wu

Humans tend to mine objects by learning from a group of images or several frames of video since we live in a dynamic world. In the computer vision area, many researches focus on co-segmentation (CoS), co-saliency detection (CoSD) and video salient object detection (VSOD) to discover the co-occurrent objects. However, previous approaches design different networks on these similar tasks separately, and they are difficult to apply to each other, which lowers the upper bound of the transferability of deep learning frameworks. Besides, they fail to take full advantage of the cues among inter- and intra-feature within a group of images. In this paper, we introduce a unified framework to tackle these issues, term as UFO (Unified Framework for Co-Object Segmentation). Specifically, we first introduce a transformer block, which views the image feature as a patch token and then captures their long-range dependencies through the self-attention mechanism. This can help the network to excavate the patch structured similarities among the relevant objects. Furthermore, we propose an intra-MLP learning module to produce self-mask to enhance the network to avoid partial activation. Extensive experiments on four CoS benchmarks (PASCAL, iCoseg, Internet and MSRC), three CoSD benchmarks (Cosal2015, CoSOD3k, and CocA) and four VSOD benchmarks (DAVIS16, FBMS, ViSal and SegV2) show that our method outperforms other state-of-the-arts on three different tasks in both accuracy and speed by using the same network architecture , which can reach 140 FPS in real-time.

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suyukun666/UFO officialmentioned in papermentioned on GitHubpytorchMIT report

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Idx suyukun666/UFO/demo_matching.py official repository unverified MIT (permissive) · b17f0cf589616633 · report
cal_fmeasure suyukun666/UFO/misc.py official repository unverified MIT (permissive) · dbdcf302f4b3a47c · report
cal_precision_recall_mae suyukun666/UFO/misc.py official repository unverified MIT (permissive) · d31192c9faa032ba · report
calc_precision_and_jaccard suyukun666/UFO/tools.py official repository unverified MIT (permissive) · e0f66060ff14683c · report
cls_modulation_branch suyukun666/UFO/model_image.py official repository unverified MIT (permissive) · f3de7abdbee03ebc · report
filt_small_instance suyukun666/UFO/data_processed.py official repository unverified MIT (permissive) · 84645a1ce9d31efc · report
generate_binary_map suyukun666/UFO/tools.py official repository unverified MIT (permissive) · 538d5931620a465b · report
hsp suyukun666/UFO/model_image.py official repository unverified MIT (permissive) · a72015580babe1d1 · report
img_normalize suyukun666/UFO/data_processed.py official repository unverified MIT (permissive) · e35f627f91cfd0df · report
index_points suyukun666/UFO/Intra_MLP.py official repository unverified MIT (permissive) · 8301a9d5dbc96a5b · report
knn_l2 suyukun666/UFO/Intra_MLP.py official repository unverified MIT (permissive) · 4e5ea5f4f33f1db3 · report
pix_idx suyukun666/UFO/demo_matching.py official repository unverified MIT (permissive) · b3ea62a04ba82560 · report
vgg suyukun666/UFO/model_image.py official repository unverified MIT (permissive) · 836db4ac2f48034c · report

Tasks

Co-Salient Object DetectionObject DetectionSaliency DetectionSalient Object DetectionSemantic SegmentationVideo Salient Object Detectionobject-detection

Results from the paper archive 2025-07-28

TaskDatasetModelMetricValueRank at snapshotLeaderboardReport
Co-Salient Object Detection CoCA UFO MAE 0.095 #4 of 10 Archive leaderboard report
Co-Salient Object Detection CoCA UFO Mean F-measure 0.555 #4 of 10 Archive leaderboard report
Co-Salient Object Detection CoCA UFO S-measure 0.697 #4 of 10 Archive leaderboard report
Co-Salient Object Detection CoCA UFO max E-measure 0.782 #4 of 10 Archive leaderboard report
Co-Salient Object Detection CoCA UFO max F-measure 0.571 #4 of 10 Archive leaderboard report
Co-Salient Object Detection CoCA UFO mean E-measure 0.762 #4 of 10 Archive leaderboard report
Co-Salient Object Detection CoSOD3k UFO MAE 0.073 #3 of 10 Archive leaderboard report
Co-Salient Object Detection CoSOD3k UFO S-measure 0.819 #3 of 10 Archive leaderboard report
Co-Salient Object Detection CoSOD3k UFO max E-measure 0.874 #3 of 10 Archive leaderboard report
Co-Salient Object Detection CoSOD3k UFO max F-measure 0.797 #3 of 10 Archive leaderboard report
Co-Salient Object Detection CoSOD3k UFO mean E-measure 0.855 #3 of 10 Archive leaderboard report
Co-Salient Object Detection CoSOD3k UFO mean F-measure 0.783 #3 of 10 Archive leaderboard report
Co-Salient Object Detection CoSal2015 UFO MAE 0.064 #4 of 10 Archive leaderboard report
Co-Salient Object Detection CoSal2015 UFO S-measure 0.860 #4 of 10 Archive leaderboard report
Co-Salient Object Detection CoSal2015 UFO max E-measure 0.906 #4 of 10 Archive leaderboard report
Co-Salient Object Detection CoSal2015 UFO max F-measure 0.865 #4 of 10 Archive leaderboard report
Co-Salient Object Detection CoSal2015 UFO mean E-measure 0.889 #4 of 10 Archive leaderboard report
Co-Salient Object Detection CoSal2015 UFO mean F-measure 0.848 #4 of 10 Archive leaderboard report
Co-Salient Object Detection iCoSeg UFO MAE 0.029 #1 of 2 Archive leaderboard report
Co-Salient Object Detection iCoSeg UFO S-measure 0.924 #1 of 2 Archive leaderboard report
Co-Salient Object Detection iCoSeg UFO max E-measure 0.969 #1 of 2 Archive leaderboard report
Co-Salient Object Detection iCoSeg UFO max F-measure 0.953 #1 of 2 Archive leaderboard report
Video Salient Object Detection DAVIS-2016 UFO AVERAGE MAE 0.015 #2 of 11 Archive leaderboard report
Video Salient Object Detection DAVIS-2016 UFO MAX F-MEASURE 0.906 #2 of 11 Archive leaderboard report
Video Salient Object Detection DAVIS-2016 UFO S-Measure 0.918 #2 of 11 Archive leaderboard report
Video Salient Object Detection FBMS-59 UFO AVERAGE MAE 0.028 #2 of 16 Archive leaderboard report
Video Salient Object Detection FBMS-59 UFO MAX F-MEASURE 0.890 #2 of 16 Archive leaderboard report
Video Salient Object Detection FBMS-59 UFO S-Measure 0.894 #2 of 16 Archive leaderboard report
Video Salient Object Detection SegTrack v2 UFO AVERAGE MAE 0.022 #1 of 8 Archive leaderboard report
Video Salient Object Detection SegTrack v2 UFO MAX F-MEASURE 0.863 #1 of 8 Archive leaderboard report
Video Salient Object Detection SegTrack v2 UFO S-Measure 0.892 #1 of 8 Archive leaderboard report
Video Salient Object Detection ViSal UFO Average MAE 0.011 #2 of 10 Archive leaderboard report
Video Salient Object Detection ViSal UFO S-Measure 0.953 #2 of 10 Archive leaderboard report
Video Salient Object Detection ViSal UFO max E-measure 0.987 #2 of 10 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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