Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/XMem (BL30K)

XMem (BL30K)

Reported on 66 benchmarks across 3 tasks · 1 paper

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Computer Vision66 results

VideoonDAVIS 2017 (val)
F-measure (Mean)· uses extra data· 2022-07-14
91.4
best: 93.4 (Cutie+ (base))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonDAVIS 2017 (val)
J&F· uses extra data· 2022-07-14
87.7
best: 90.7 (SAM2)
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonDAVIS 2017 (val)
Jaccard (Mean)· uses extra data· 2022-07-14
84
best: 87.5 (Cutie+ (base))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonDAVIS 2017 (val)
Speed (FPS)· uses extra data· 2022-07-14
22.6
best: 90.6 (MobileVOS (BL30K))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonDAVIS 2016
F-measure (Mean)· uses extra data· 2022-07-14
93.2
best: 94.7 (SwinB-DeAOT-L)
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonDAVIS 2016
J&F· uses extra data· 2022-07-14
92
best: 93.4 (ISVOS (BL30K, MS))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonDAVIS 2016
Jaccard (Mean)· uses extra data· 2022-07-14
90.7
best: 92.5 (ISVOS (BL30K, MS))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonDAVIS 2016
Speed (FPS)· uses extra data· 2022-07-14
29.6
best: 100.1 (MobileVOS (BL30K))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonYouTube-VOS 2019
F-Measure (Seen)· uses extra data· 2022-07-14
89.2
best: 90.6 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonYouTube-VOS 2019
F-Measure (Unseen)· uses extra data· 2022-07-14
88.8
best: 90.5 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonYouTube-VOS 2019
Jaccard (Seen)· uses extra data· 2022-07-14
84.8
best: 86.3 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonYouTube-VOS 2019
Jaccard (Unseen)· uses extra data· 2022-07-14
80.3
best: 754.8 (R50-AOST (L'=1))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonYouTube-VOS 2019
Overall· uses extra data· 2022-07-14
85.8
best: 87.5 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonDAVIS 2017 (test-dev)
F-measure (Mean)· uses extra data· 2022-07-14
84.7
best: 91.4 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonDAVIS 2017 (test-dev)
J&F· uses extra data· 2022-07-14
81.2
best: 88.1 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonDAVIS 2017 (test-dev)
Jaccard (Mean)· uses extra data· 2022-07-14
77.6
best: 84.7 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonYouTube-VOS 2018
F-Measure (Seen)· uses extra data· 2022-07-14
89.8
best: 91 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonYouTube-VOS 2018
F-Measure (Unseen)· uses extra data· 2022-07-14
89.2
best: 90.2 (XMem (BL30K, MS))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonYouTube-VOS 2018
Jaccard (Seen)· uses extra data· 2022-07-14
85.1
best: 86.6 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonYouTube-VOS 2018
Jaccard (Unseen)· uses extra data· 2022-07-14
80.3
best: 82.2 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonYouTube-VOS 2018
Overall· uses extra data· 2022-07-14
86.1
best: 87.5 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
VideoonYouTube-VOS 2018
Speed (FPS)· uses extra data· 2022-07-14
22.6
best: 65.9 (FRTM)
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· uses extra data· 2022-07-14
91.4
best: 93.4 (Cutie+ (base))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonDAVIS 2017 (val)
J&F· uses extra data· 2022-07-14
87.7
best: 90.7 (SAM2)
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· uses extra data· 2022-07-14
84
best: 87.5 (Cutie+ (base))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonDAVIS 2017 (val)
Speed (FPS)· uses extra data· 2022-07-14
22.6
best: 90.6 (MobileVOS (BL30K))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonDAVIS 2016
F-measure (Mean)· uses extra data· 2022-07-14
93.2
best: 94.7 (SwinB-DeAOT-L)
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonDAVIS 2016
J&F· uses extra data· 2022-07-14
92
best: 93.4 (ISVOS (BL30K, MS))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonDAVIS 2016
Jaccard (Mean)· uses extra data· 2022-07-14
90.7
best: 92.5 (ISVOS (BL30K, MS))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonDAVIS 2016
Speed (FPS)· uses extra data· 2022-07-14
29.6
best: 100.1 (MobileVOS (BL30K))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonYouTube-VOS 2019
F-Measure (Seen)· uses extra data· 2022-07-14
89.2
best: 90.6 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonYouTube-VOS 2019
F-Measure (Unseen)· uses extra data· 2022-07-14
88.8
best: 90.5 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonYouTube-VOS 2019
Jaccard (Seen)· uses extra data· 2022-07-14
84.8
best: 86.3 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonYouTube-VOS 2019
Jaccard (Unseen)· uses extra data· 2022-07-14
80.3
best: 754.8 (R50-AOST (L'=1))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonYouTube-VOS 2019
Overall· uses extra data· 2022-07-14
85.8
best: 87.5 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure (Mean)· uses extra data· 2022-07-14
84.7
best: 91.4 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonDAVIS 2017 (test-dev)
J&F· uses extra data· 2022-07-14
81.2
best: 88.1 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Mean)· uses extra data· 2022-07-14
77.6
best: 84.7 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· uses extra data· 2022-07-14
89.8
best: 91 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· uses extra data· 2022-07-14
89.2
best: 90.2 (XMem (BL30K, MS))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· uses extra data· 2022-07-14
85.1
best: 86.6 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· uses extra data· 2022-07-14
80.3
best: 82.2 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonYouTube-VOS 2018
Overall· uses extra data· 2022-07-14
86.1
best: 87.5 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Video Object SegmentationonYouTube-VOS 2018
Speed (FPS)· uses extra data· 2022-07-14
22.6
best: 65.9 (FRTM)
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· uses extra data· 2022-07-14
91.4
best: 93.4 (Cutie+ (base))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
J&F· uses extra data· 2022-07-14
87.7
best: 90.7 (SAM2)
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· uses extra data· 2022-07-14
84
best: 87.5 (Cutie+ (base))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Speed (FPS)· uses extra data· 2022-07-14
22.6
best: 90.6 (MobileVOS (BL30K))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonDAVIS 2016
F-measure (Mean)· uses extra data· 2022-07-14
93.2
best: 94.7 (SwinB-DeAOT-L)
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonDAVIS 2016
J&F· uses extra data· 2022-07-14
92
best: 93.4 (ISVOS (BL30K, MS))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonDAVIS 2016
Jaccard (Mean)· uses extra data· 2022-07-14
90.7
best: 92.5 (ISVOS (BL30K, MS))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonDAVIS 2016
Speed (FPS)· uses extra data· 2022-07-14
29.6
best: 100.1 (MobileVOS (BL30K))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
F-Measure (Seen)· uses extra data· 2022-07-14
89.2
best: 90.6 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
F-Measure (Unseen)· uses extra data· 2022-07-14
88.8
best: 90.5 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
Jaccard (Seen)· uses extra data· 2022-07-14
84.8
best: 86.3 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
Jaccard (Unseen)· uses extra data· 2022-07-14
80.3
best: 754.8 (R50-AOST (L'=1))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonYouTube-VOS 2019
Overall· uses extra data· 2022-07-14
85.8
best: 87.5 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure (Mean)· uses extra data· 2022-07-14
84.7
best: 91.4 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
J&F· uses extra data· 2022-07-14
81.2
best: 88.1 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Mean)· uses extra data· 2022-07-14
77.6
best: 84.7 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· uses extra data· 2022-07-14
89.8
best: 91 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· uses extra data· 2022-07-14
89.2
best: 90.2 (XMem (BL30K, MS))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· uses extra data· 2022-07-14
85.1
best: 86.6 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· uses extra data· 2022-07-14
80.3
best: 82.2 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Overall· uses extra data· 2022-07-14
86.1
best: 87.5 (Cutie+ (base, MEGA))
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Speed (FPS)· uses extra data· 2022-07-14
22.6
best: 65.9 (FRTM)
XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model arXiv:2207.07115