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Models/RMN

RMN

Reported on 23 benchmarks across 5 tasks · 2 papers · 6 SOTA

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

Computer Vision20 results

  • Object TrackingonYouTube-VOS 2018
    Jaccard (Unseen)· 2022-08-01
    75.7
    SOTA
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • Visual Object TrackingonYouTube-VOS 2018
    Jaccard (Unseen)· 2022-08-01
    75.7
    SOTA
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • VideoonDAVIS 2017 (val)
    Jaccard· 2021-02-22
    81
    best: 86.3 (XMem (BLK30K, MS))
    SOTA
    Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance MappingarXiv:2102.11343
  • Video Object SegmentationonDAVIS 2017 (val)
    Jaccard· 2021-02-22
    81
    best: 86.3 (XMem (BLK30K, MS))
    SOTA
    Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance MappingarXiv:2102.11343
  • VideoonDAVIS 2017 (test-dev)
    F-measure· 2022-08-01
    78.1
    best: 86.1 (BATMAN)
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • VideoonDAVIS 2017 (test-dev)
    Jaccard· 2022-08-01
    71.9
    best: 78.4 (BATMAN)
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • VideoonYouTube-VOS 2018
    F-Measure (Seen)· 2022-08-01
    85.7
    best: 91 (Cutie+ (base, MEGA))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • VideoonYouTube-VOS 2018
    F-Measure (Unseen)· 2022-08-01
    82.4
    best: 90.2 (XMem (BL30K, MS))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • VideoonYouTube-VOS 2018
    Jaccard (Seen)· 2022-08-01
    82.1
    best: 86.6 (Cutie+ (base, MEGA))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • VideoonYouTube-VOS 2018
    Jaccard (Unseen)· 2022-08-01
    75.7
    best: 82.2 (Cutie+ (base, MEGA))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • VideoonDAVIS 2017 (val)
    F-measure· 2022-08-01
    86
    best: 92.6 (XMem (BLK30K, MS))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • VideoonDAVIS 2017 (val)
    Mean Jaccard & F-Measure· 2022-08-01
    83.5
    best: 89.5 (XMem (BLK30K, MS))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    F-measure· 2022-08-01
    78.1
    best: 86.1 (BATMAN)
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • Video Object SegmentationonDAVIS 2017 (test-dev)
    Jaccard· 2022-08-01
    71.9
    best: 78.4 (BATMAN)
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Seen)· 2022-08-01
    85.7
    best: 91 (Cutie+ (base, MEGA))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • Video Object SegmentationonYouTube-VOS 2018
    F-Measure (Unseen)· 2022-08-01
    82.4
    best: 90.2 (XMem (BL30K, MS))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Seen)· 2022-08-01
    82.1
    best: 86.6 (Cutie+ (base, MEGA))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • Video Object SegmentationonYouTube-VOS 2018
    Jaccard (Unseen)· 2022-08-01
    75.7
    best: 82.2 (Cutie+ (base, MEGA))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • Video Object SegmentationonDAVIS 2017 (val)
    F-measure· 2022-08-01
    86
    best: 92.6 (XMem (BLK30K, MS))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159
  • Video Object SegmentationonDAVIS 2017 (val)
    Mean Jaccard & F-Measure· 2022-08-01
    83.5
    best: 89.5 (XMem (BLK30K, MS))
    BATMAN: Bilateral Attention Transformer in Motion-Appearance Neighboring Space for Video Object SegmentationarXiv:2208.01159

Methodology3 results

  • Continual LearningonPermuted MNIST
    Average Accuracy· 2021-02-22
    97.988
    SOTA
    Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance MappingarXiv:2102.11343
  • Continual LearningonImageNet-50 (5 tasks)
    Accuracy· 2021-02-22
    68.1
    SOTA
    Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance MappingarXiv:2102.11343
  • Continual LearningonCifar100 (20 tasks)
    Average Accuracy· 2021-02-22
    81
    best: 94.99 (Model Zoo-Continual)
    Understanding Catastrophic Forgetting and Remembering in Continual Learning with Optimal Relevance MappingarXiv:2102.11343