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Models/RMNet

RMNet

Reported on 63 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Computer Vision63 results

VideoonYouTube-VOS 2018
Jaccard (Seen)· uses extra data· 2021-03-24
82.1
best: 86.6 (Cutie+ (base, MEGA))
SOTA
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· uses extra data· 2021-03-24
82.1
best: 86.6 (Cutie+ (base, MEGA))
SOTA
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· uses extra data· 2021-03-24
82.1
best: 86.6 (Cutie+ (base, MEGA))
SOTA
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS 2017 (val)
F-measure (Mean)· 2021-03-24
86
best: 93.4 (Cutie+ (base))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS 2017 (val)
J&F· 2021-03-24
83.5
best: 90.7 (SAM2)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS 2017 (val)
Jaccard (Mean)· 2021-03-24
81
best: 87.5 (Cutie+ (base))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS 2016
F-measure (Mean)· uses extra data· 2021-03-24
88.7
best: 94.7 (SwinB-DeAOT-L)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS 2016
J&F· uses extra data· 2021-03-24
88.8
best: 93.4 (ISVOS (BL30K, MS))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS 2016
Jaccard (Mean)· uses extra data· 2021-03-24
88.9
best: 92.5 (ISVOS (BL30K, MS))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS 2017 (test-dev)
F-measure (Mean)· uses extra data· 2021-03-24
78.1
best: 91.4 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS 2017 (test-dev)
J&F· uses extra data· 2021-03-24
75
best: 88.1 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS 2017 (test-dev)
Jaccard (Mean)· uses extra data· 2021-03-24
71.9
best: 84.7 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS (no YouTube-VOS training)
D16 val (F)· 2021-03-24
82.3
best: 90.6 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS (no YouTube-VOS training)
D16 val (G)· 2021-03-24
81.5
best: 89.4 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS (no YouTube-VOS training)
D16 val (J)· 2021-03-24
80.6
best: 88.2 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS (no YouTube-VOS training)
D17 val (F)· 2021-03-24
77.2
best: 83.1 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS (no YouTube-VOS training)
D17 val (G)· 2021-03-24
75
best: 80.4 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS (no YouTube-VOS training)
D17 val (J)· 2021-03-24
72.8
best: 77.7 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonDAVIS (no YouTube-VOS training)
FPS· 2021-03-24
11.9
best: 50.1 (TBD)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonYouTube-VOS 2018
F-Measure (Seen)· uses extra data· 2021-03-24
85.7
best: 91 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonYouTube-VOS 2018
F-Measure (Unseen)· uses extra data· 2021-03-24
82.4
best: 90.2 (XMem (BL30K, MS))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonYouTube-VOS 2018
Jaccard (Unseen)· uses extra data· 2021-03-24
75.7
best: 82.2 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
VideoonYouTube-VOS 2018
Overall· uses extra data· 2021-03-24
81.5
best: 87.5 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· 2021-03-24
86
best: 93.4 (Cutie+ (base))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS 2017 (val)
J&F· 2021-03-24
83.5
best: 90.7 (SAM2)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· 2021-03-24
81
best: 87.5 (Cutie+ (base))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS 2016
F-measure (Mean)· uses extra data· 2021-03-24
88.7
best: 94.7 (SwinB-DeAOT-L)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS 2016
J&F· uses extra data· 2021-03-24
88.8
best: 93.4 (ISVOS (BL30K, MS))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS 2016
Jaccard (Mean)· uses extra data· 2021-03-24
88.9
best: 92.5 (ISVOS (BL30K, MS))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure (Mean)· uses extra data· 2021-03-24
78.1
best: 91.4 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS 2017 (test-dev)
J&F· uses extra data· 2021-03-24
75
best: 88.1 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Mean)· uses extra data· 2021-03-24
71.9
best: 84.7 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (F)· 2021-03-24
82.3
best: 90.6 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (G)· 2021-03-24
81.5
best: 89.4 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (J)· 2021-03-24
80.6
best: 88.2 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (F)· 2021-03-24
77.2
best: 83.1 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (G)· 2021-03-24
75
best: 80.4 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (J)· 2021-03-24
72.8
best: 77.7 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonDAVIS (no YouTube-VOS training)
FPS· 2021-03-24
11.9
best: 50.1 (TBD)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· uses extra data· 2021-03-24
85.7
best: 91 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· uses extra data· 2021-03-24
82.4
best: 90.2 (XMem (BL30K, MS))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· uses extra data· 2021-03-24
75.7
best: 82.2 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Video Object SegmentationonYouTube-VOS 2018
Overall· uses extra data· 2021-03-24
81.5
best: 87.5 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· 2021-03-24
86
best: 93.4 (Cutie+ (base))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
J&F· 2021-03-24
83.5
best: 90.7 (SAM2)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· 2021-03-24
81
best: 87.5 (Cutie+ (base))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS 2016
F-measure (Mean)· uses extra data· 2021-03-24
88.7
best: 94.7 (SwinB-DeAOT-L)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS 2016
J&F· uses extra data· 2021-03-24
88.8
best: 93.4 (ISVOS (BL30K, MS))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS 2016
Jaccard (Mean)· uses extra data· 2021-03-24
88.9
best: 92.5 (ISVOS (BL30K, MS))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure (Mean)· uses extra data· 2021-03-24
78.1
best: 91.4 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
J&F· uses extra data· 2021-03-24
75
best: 88.1 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard (Mean)· uses extra data· 2021-03-24
71.9
best: 84.7 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (F)· 2021-03-24
82.3
best: 90.6 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (G)· 2021-03-24
81.5
best: 89.4 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (J)· 2021-03-24
80.6
best: 88.2 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (F)· 2021-03-24
77.2
best: 83.1 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (G)· 2021-03-24
75
best: 80.4 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (J)· 2021-03-24
72.8
best: 77.7 (HMMN)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
FPS· 2021-03-24
11.9
best: 50.1 (TBD)
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· uses extra data· 2021-03-24
85.7
best: 91 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· uses extra data· 2021-03-24
82.4
best: 90.2 (XMem (BL30K, MS))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· uses extra data· 2021-03-24
75.7
best: 82.2 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Overall· uses extra data· 2021-03-24
81.5
best: 87.5 (Cutie+ (base, MEGA))
Efficient Regional Memory Network for Video Object Segmentation arXiv:2103.12934