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Models/AFB-URR

AFB-URR

Reported on 74 benchmarks across 3 tasks · 1 paper · 18 SOTA

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

Computer Vision82 results

VideoonLong Video Dataset (3X)
F· uses extra data· 2020-10-15
84.6
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonLong Video Dataset (3X)
J· uses extra data· 2020-10-15
82.9
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonLong Video Dataset (3X)
J&F· uses extra data· 2020-10-15
83.8
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonLong Video Dataset
F· uses extra data· 2020-10-15
84.5
best: 91.7 (ISVOS)
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonLong Video Dataset
J· uses extra data· 2020-10-15
82.9
best: 88.3 (ISVOS)
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonLong Video Dataset
J&F· uses extra data· 2020-10-15
83.7
best: 90 (ISVOS)
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonLong Video Dataset (3X)
F· uses extra data· 2020-10-15
84.6
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonLong Video Dataset (3X)
J· uses extra data· 2020-10-15
82.9
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonLong Video Dataset (3X)
J&F· uses extra data· 2020-10-15
83.8
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonLong Video Dataset
F· uses extra data· 2020-10-15
84.5
best: 91.7 (ISVOS)
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonLong Video Dataset
J· uses extra data· 2020-10-15
82.9
best: 88.3 (ISVOS)
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonLong Video Dataset
J&F· uses extra data· 2020-10-15
83.7
best: 90 (ISVOS)
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonLong Video Dataset (3X)
F· uses extra data· 2020-10-15
84.6
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonLong Video Dataset (3X)
J· uses extra data· 2020-10-15
82.9
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonLong Video Dataset (3X)
J&F· uses extra data· 2020-10-15
83.8
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonLong Video Dataset
F· uses extra data· 2020-10-15
84.5
best: 91.7 (ISVOS)
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonLong Video Dataset
J· uses extra data· 2020-10-15
82.9
best: 88.3 (ISVOS)
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonLong Video Dataset
J&F· uses extra data· 2020-10-15
83.7
best: 90 (ISVOS)
SOTA
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonYouTube-VOS 2018
F-Measure (Seen)· 2020-10-15
83.1
best: 91 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonYouTube-VOS 2018
F-Measure (Unseen)· 2020-10-15
82.6
best: 90.2 (XMem (BL30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonYouTube-VOS 2018
Jaccard (Seen)· 2020-10-15
78.8
best: 86.6 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonYouTube-VOS 2018
Jaccard (Unseen)· 2020-10-15
74.1
best: 82.2 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonYouTube-VOS 2018
Mean Jaccard & F-Measure· 2020-10-15
79.6
best: 86.9 (XMem (BL30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS 2017 (val)
F-measure· 2020-10-15
76.1
best: 92.6 (XMem (BLK30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS 2017 (val)
Jaccard· 2020-10-15
73
best: 86.3 (XMem (BLK30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS 2017 (val)
Mean Jaccard & F-Measure· 2020-10-15
74.6
best: 89.5 (XMem (BLK30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS 2017 (val)
F-measure (Decay)· 2020-10-15
15.5
best: 85.3 (STCN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS 2017 (val)
F-measure (Mean)· 2020-10-15
76.1
best: 93.4 (Cutie+ (base))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS 2017 (val)
F-measure (Recall)· 2020-10-15
87
best: 94.6 (STCN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS 2017 (val)
J&F· 2020-10-15
74.6
best: 90.7 (SAM2)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS 2017 (val)
Jaccard (Decay)· 2020-10-15
13.8
best: 32.5 (MuG-W)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS 2017 (val)
Jaccard (Mean)· 2020-10-15
73
best: 87.5 (Cutie+ (base))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS 2017 (val)
Jaccard (Recall)· 2020-10-15
85.3
best: 91.4 (ISVOS (MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS (no YouTube-VOS training)
D17 val (F)· 2020-10-15
76.1
best: 83.1 (HMMN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS (no YouTube-VOS training)
D17 val (G)· 2020-10-15
74.6
best: 80.4 (HMMN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS (no YouTube-VOS training)
D17 val (J)· 2020-10-15
73
best: 77.7 (HMMN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonDAVIS (no YouTube-VOS training)
FPS· 2020-10-15
4
best: 50.1 (TBD)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonYouTube-VOS 2018
F-Measure (Seen)· uses extra data· 2020-10-15
83.1
best: 91 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonYouTube-VOS 2018
F-Measure (Unseen)· uses extra data· 2020-10-15
82.6
best: 90.2 (XMem (BL30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonYouTube-VOS 2018
Jaccard (Seen)· uses extra data· 2020-10-15
78.8
best: 86.6 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonYouTube-VOS 2018
Jaccard (Unseen)· uses extra data· 2020-10-15
74.1
best: 82.2 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
VideoonYouTube-VOS 2018
Overall· uses extra data· 2020-10-15
79.6
best: 87.5 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· 2020-10-15
83.1
best: 91 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· 2020-10-15
82.6
best: 90.2 (XMem (BL30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· 2020-10-15
78.8
best: 86.6 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· 2020-10-15
74.1
best: 82.2 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonYouTube-VOS 2018
Mean Jaccard & F-Measure· 2020-10-15
79.6
best: 86.9 (XMem (BL30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS 2017 (val)
F-measure· 2020-10-15
76.1
best: 92.6 (XMem (BLK30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS 2017 (val)
Jaccard· 2020-10-15
73
best: 86.3 (XMem (BLK30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS 2017 (val)
Mean Jaccard & F-Measure· 2020-10-15
74.6
best: 89.5 (XMem (BLK30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS 2017 (val)
F-measure (Decay)· 2020-10-15
15.5
best: 85.3 (STCN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· 2020-10-15
76.1
best: 93.4 (Cutie+ (base))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS 2017 (val)
F-measure (Recall)· 2020-10-15
87
best: 94.6 (STCN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS 2017 (val)
J&F· 2020-10-15
74.6
best: 90.7 (SAM2)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Decay)· 2020-10-15
13.8
best: 32.5 (MuG-W)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· 2020-10-15
73
best: 87.5 (Cutie+ (base))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Recall)· 2020-10-15
85.3
best: 91.4 (ISVOS (MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (F)· 2020-10-15
76.1
best: 83.1 (HMMN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (G)· 2020-10-15
74.6
best: 80.4 (HMMN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (J)· 2020-10-15
73
best: 77.7 (HMMN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonDAVIS (no YouTube-VOS training)
FPS· 2020-10-15
4
best: 50.1 (TBD)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· uses extra data· 2020-10-15
83.1
best: 91 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· uses extra data· 2020-10-15
82.6
best: 90.2 (XMem (BL30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· uses extra data· 2020-10-15
78.8
best: 86.6 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· uses extra data· 2020-10-15
74.1
best: 82.2 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Video Object SegmentationonYouTube-VOS 2018
Overall· uses extra data· 2020-10-15
79.6
best: 87.5 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
F-measure (Decay)· 2020-10-15
15.5
best: 85.3 (STCN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
F-measure (Mean)· 2020-10-15
76.1
best: 93.4 (Cutie+ (base))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
F-measure (Recall)· 2020-10-15
87
best: 94.6 (STCN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
J&F· 2020-10-15
74.6
best: 90.7 (SAM2)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Decay)· 2020-10-15
13.8
best: 32.5 (MuG-W)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Mean)· 2020-10-15
73
best: 87.5 (Cutie+ (base))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonDAVIS 2017 (val)
Jaccard (Recall)· 2020-10-15
85.3
best: 91.4 (ISVOS (MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (F)· 2020-10-15
76.1
best: 83.1 (HMMN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (G)· 2020-10-15
74.6
best: 80.4 (HMMN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (J)· 2020-10-15
73
best: 77.7 (HMMN)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
FPS· 2020-10-15
4
best: 50.1 (TBD)
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· uses extra data· 2020-10-15
83.1
best: 91 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· uses extra data· 2020-10-15
82.6
best: 90.2 (XMem (BL30K, MS))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· uses extra data· 2020-10-15
78.8
best: 86.6 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· uses extra data· 2020-10-15
74.1
best: 82.2 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958
Semi-Supervised Video Object SegmentationonYouTube-VOS 2018
Overall· uses extra data· 2020-10-15
79.6
best: 87.5 (Cutie+ (base, MEGA))
Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement arXiv:2010.07958