paper-with-me

Unsupervised Video Object Segmentation 벤치마크

Unsupervised Video Object Segmentation on DAVIS 2016 val

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75.9 79.15 82.4 85.65 88.9 2018-09 2026-09 PDB — 75.9 (2018-09-01) PDB — 75.9 (2018-09-01) AGS — 78.6 (2019-06-01) AGS — 78.6 (2019-06-01) AD-Net — 81.1 (2019-10-24) AD-Net — 81.1 (2019-10-24) COSNet — 80.0 (2020-01-19) AGNN — 79.9 (2020-01-19) COSNet — 80.0 (2020-01-19) AGNN — 79.9 (2020-01-19) MATNet — 81.6 (2020-03-09) MATNet — 81.6 (2020-03-09) DFNet — 82.6 (2020-08-04) DFNet — 82.6 (2020-08-04) 3DC-Seg — 84.5 (2020-08-26) 3DC-Seg — 84.5 (2020-08-26) F2Net — 83.7 (2020-12-04) F2Net — 83.7 (2020-12-04) TransportNet — 84.8 (2021-01-01) AMC-Net — 84.6 (2021-01-01) TransportNet — 84.8 (2021-01-01) AMC-Net — 84.6 (2021-01-01) RTNet — 85.2 (2021-06-19) RTNet — 85.2 (2021-06-19) FSNet — 83.3 (2021-08-06) FSNet — 83.3 (2021-08-06) D2Conv3D — 86.0 (2021-11-15) D2Conv3D — 86.0 (2021-11-15) IMP — 85.6 (2021-12-23) IMP — 85.6 (2021-12-23) TMO (MiT-b1) — 87.2 (2022-09-04) TMO (RN-101) — 86.1 (2022-09-04) TMO (MiT-b1) — 87.2 (2022-09-04) TMO (RN-101) — 86.1 (2022-09-04) PMN — 85.9 (2022-09-08) PMN — 85.9 (2022-09-08) DPA — 87.6 (2022-11-22) DPA — 87.6 (2022-11-22) GSANet — 88.9 (2023-03-15) GSANet — 88.9 (2023-03-15) AMP — 87.3 (2023-03-18) AMP — 87.3 (2023-03-18) DEVA (DIS) — 88.9 (2023-09-07) DEVA (DIS) — 88.9 (2023-09-07) DLDA — 85.75 (2024-01-25) DLDA — 85.75 (2024-01-25) FakeFlow — 88.5 (2024-07-16) FakeFlow — 88.5 (2024-07-16) PDB — 75.9 (2018-09-01) AGS — 78.6 (2019-06-01) AD-Net — 81.1 (2019-10-24) MATNet — 81.6 (2020-03-09) DFNet — 82.6 (2020-08-04) 3DC-Seg — 84.5 (2020-08-26) TransportNet — 84.8 (2021-01-01) RTNet — 85.2 (2021-06-19) D2Conv3D — 86.0 (2021-11-15) TMO (MiT-b1) — 87.2 (2022-09-04) DPA — 87.6 (2022-11-22) GSANet — 88.9 (2023-03-15)
RankModel GJF Extra Training Data PaperCodeYear
1 GSANet 88.988.389.6 Guided Slot Attention for Unsupervised Video Object Segmentation hydragon516/gsanet 2023
1 DEVA (DIS) 88.987.690.2 ✓ Tracking Anything with Decoupled Video Segmentation hkchengrex/Tracking-Anything-with-DEVA 2023
3 FakeFlow 88.588.089.0 Improving Unsupervised Video Object Segmentation via Fake Flow Generation 2024
4 DPA 87.686.888.4 Dual Prototype Attention for Unsupervised Video Object Segmentation hydragon516/dpa 2022
5 AMP 87.387.187.5 Adaptive Multi-source Predictor for Zero-shot Video Object Segmentation xiaoqi-zhao-dlut/multi-source-aps-zvos 2023
6 TMO (MiT-b1) 87.286.687.8 Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation suhwan-cho/tmo · ahasan-haque/TMO-RAFT 2022
7 TMO (RN-101) 86.185.686.6 Treating Motion as Option to Reduce Motion Dependency in Unsupervised Video Object Segmentation suhwan-cho/tmo · ahasan-haque/TMO-RAFT 2022
8 D2Conv3D 86.085.586.5 D2Conv3D: Dynamic Dilated Convolutions for Object Segmentation in Videos schmiddo/d2conv3d · 2023-MindSpore-4/Code5 2021
9 PMN 85.985.486.4 Unsupervised Video Object Segmentation via Prototype Memory Network Hydragon516/PMN 2022
10 DLDA 85.7584.986.6 ✓ Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention 2024
11 IMP 85.684.586.7 Iteratively Selecting an Easy Reference Frame Makes Unsupervised Video Object Segmentation Easier 2021
12 RTNet 85.285.684.7 Reciprocal Transformations for Unsupervised Video Object Segmentation OliverRensu/RTNet 2021
13 TransportNet 84.884.585.0 Deep Transport Network for Unsupervised Video Object Segmentation 2021
14 AMC-Net 84.684.584.6 Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation isyangshu/amc-net 2021
15 3DC-Seg 84.584.384.7 Making a Case for 3D Convolutions for Object Segmentation in Videos sabarim/3DC-Seg 2020
16 F2Net 83.783.154.4 F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation 2020
17 FSNet 83.383.483.1 Full-Duplex Strategy for Video Object Segmentation GewelsJI/FSNet 2021
18 DFNet 82.683.481.8 Learning Discriminative Feature with CRF for Unsupervised Video Object Segmentation 2020
19 MATNet 81.682.480.7 Motion-Attentive Transition for Zero-Shot Video Object Segmentation tfzhou/MATNet 2020
20 WCS-Net 81.582.280.7 Unsupervised Video Object Segmentation with Joint Hotspot Tracking
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