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Models/AOT

AOT

Reported on 43 benchmarks across 5 tasks · 3 papers · 25 SOTA

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

Computer Vision43 results

VideoonYouTube-VOS 2019
F-Measure (Seen)· 2021-06-04
88.1
best: 90.6 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
VideoonYouTube-VOS 2019
F-Measure (Unseen)· 2021-06-04
86.3
best: 90.5 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
VideoonYouTube-VOS 2019
Jaccard (Seen)· 2021-06-04
83.5
best: 86.3 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
VideoonYouTube-VOS 2019
Jaccard (Unseen)· 2021-06-04
78.4
best: 754.8 (R50-AOST (L'=1))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
VideoonDAVIS 2017 (test-dev)
F-measure· uses extra data· 2021-06-04
83.3
best: 86.1 (BATMAN)
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
VideoonDAVIS 2017 (test-dev)
Jaccard· uses extra data· 2021-06-04
75.9
best: 78.4 (BATMAN)
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
VideoonDAVIS 2017 (test-dev)
Mean Jaccard & F-Measure· uses extra data· 2021-06-04
79.6
best: 82.2 (BATMAN)
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
VideoonMOSE
F· 2021-06-04
61.3
best: 75.8 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
VideoonMOSE
J· 2021-06-04
53.1
best: 67.6 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
VideoonMOSE
J&F· 2021-06-04
57.2
best: 77.9 (SAM2)
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Video Object SegmentationonYouTube-VOS 2019
F-Measure (Seen)· 2021-06-04
88.1
best: 90.6 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Video Object SegmentationonYouTube-VOS 2019
F-Measure (Unseen)· 2021-06-04
86.3
best: 90.5 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Video Object SegmentationonYouTube-VOS 2019
Jaccard (Seen)· 2021-06-04
83.5
best: 86.3 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Video Object SegmentationonYouTube-VOS 2019
Jaccard (Unseen)· 2021-06-04
78.4
best: 754.8 (R50-AOST (L'=1))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Video Object SegmentationonDAVIS 2017 (test-dev)
F-measure· uses extra data· 2021-06-04
83.3
best: 86.1 (BATMAN)
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Video Object SegmentationonDAVIS 2017 (test-dev)
Jaccard· uses extra data· 2021-06-04
75.9
best: 78.4 (BATMAN)
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Video Object SegmentationonDAVIS 2017 (test-dev)
Mean Jaccard & F-Measure· uses extra data· 2021-06-04
79.6
best: 82.2 (BATMAN)
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Video Object SegmentationonMOSE
F· 2021-06-04
61.3
best: 75.8 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Video Object SegmentationonMOSE
J· 2021-06-04
53.1
best: 67.6 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Video Object SegmentationonMOSE
J&F· 2021-06-04
57.2
best: 77.9 (SAM2)
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Semi-Supervised Video Object SegmentationonMOSE
F· 2021-06-04
61.3
best: 75.8 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Semi-Supervised Video Object SegmentationonMOSE
J· 2021-06-04
53.1
best: 67.6 (Cutie+ (base, MEGA))
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Semi-Supervised Video Object SegmentationonMOSE
J&F· 2021-06-04
57.2
best: 77.9 (SAM2)
SOTA
Associating Objects with Transformers for Video Object Segmentation arXiv:2106.02638
Object TrackingonDiDi
Tracking quality· 2020-11-05
0.541
best: 0.694 (DAM4SAM)
SOTA
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection arXiv:2011.02674
Visual Object TrackingonDiDi
Tracking quality· 2020-11-05
0.541
best: 0.694 (DAM4SAM)
SOTA
AOT: Appearance Optimal Transport Based Identity Swapping for Forgery Detection arXiv:2011.02674
VideoonYouTube-VOS 2019
Mean Jaccard & F-Measure· 2022-08-01
84.1
best: 86.8 (XMem (BL30K,MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonYouTube-VOS 2018
F-Measure (Seen)· 2022-08-01
88.5
best: 91 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonYouTube-VOS 2018
F-Measure (Unseen)· 2022-08-01
86.1
best: 90.2 (XMem (BL30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonYouTube-VOS 2018
Jaccard (Seen)· 2022-08-01
83.7
best: 86.6 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonYouTube-VOS 2018
Jaccard (Unseen)· 2022-08-01
78.1
best: 82.2 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonYouTube-VOS 2018
Mean Jaccard & F-Measure· 2022-08-01
84.1
best: 86.9 (XMem (BL30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonDAVIS 2017 (val)
F-measure· 2022-08-01
87.5
best: 92.6 (XMem (BLK30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonDAVIS 2017 (val)
Jaccard· 2022-08-01
82.3
best: 86.3 (XMem (BLK30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
VideoonDAVIS 2017 (val)
Mean Jaccard & F-Measure· 2022-08-01
84.9
best: 89.5 (XMem (BLK30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2019
Mean Jaccard & F-Measure· 2022-08-01
84.1
best: 86.8 (XMem (BL30K,MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Seen)· 2022-08-01
88.5
best: 91 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2018
F-Measure (Unseen)· 2022-08-01
86.1
best: 90.2 (XMem (BL30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Seen)· 2022-08-01
83.7
best: 86.6 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2018
Jaccard (Unseen)· 2022-08-01
78.1
best: 82.2 (Cutie+ (base, MEGA))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonYouTube-VOS 2018
Mean Jaccard & F-Measure· 2022-08-01
84.1
best: 86.9 (XMem (BL30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonDAVIS 2017 (val)
F-measure· 2022-08-01
87.5
best: 92.6 (XMem (BLK30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonDAVIS 2017 (val)
Jaccard· 2022-08-01
82.3
best: 86.3 (XMem (BLK30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159
Video Object SegmentationonDAVIS 2017 (val)
Mean Jaccard & F-Measure· 2022-08-01
84.9
best: 89.5 (XMem (BLK30K, MS))
BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object Segmentation arXiv:2208.01159