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Models/AAMN

AAMN

Reported on 32 benchmarks across 2 tasks · 1 paper · 26 SOTA

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

Computer Vision32 results

Instance SegmentationonA2D Sentences
AP· 2020-11-02
0.396
best: 0.585 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonA2D Sentences
IoU overall· 2020-11-02
0.617
best: 0.807 (SOC (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonA2D Sentences
Precision@0.5· 2020-11-02
0.681
best: 0.851 (SOC (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonA2D Sentences
Precision@0.6· 2020-11-02
0.629
best: 0.827 (SOC (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonA2D Sentences
Precision@0.7· 2020-11-02
0.523
best: 0.767 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonA2D Sentences
Precision@0.8· 2020-11-02
0.296
best: 0.617 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonJ-HMDB
AP· 2020-11-02
0.321
best: 0.45 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonJ-HMDB
IoU mean· 2020-11-02
0.576
best: 0.725 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonJ-HMDB
IoU overall· 2020-11-02
0.583
best: 0.737 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonJ-HMDB
Precision@0.5· 2020-11-02
0.773
best: 0.972 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonJ-HMDB
Precision@0.6· 2020-11-02
0.627
best: 0.917 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonJ-HMDB
Precision@0.7· 2020-11-02
0.36
best: 0.714 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonJ-HMDB
Precision@0.8· 2020-11-02
0.044
best: 0.225 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonA2D Sentences
AP· 2020-11-02
0.396
best: 0.585 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonA2D Sentences
IoU overall· 2020-11-02
0.617
best: 0.807 (SOC (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonA2D Sentences
Precision@0.5· 2020-11-02
0.681
best: 0.851 (SOC (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonA2D Sentences
Precision@0.6· 2020-11-02
0.629
best: 0.827 (SOC (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonA2D Sentences
Precision@0.7· 2020-11-02
0.523
best: 0.767 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonA2D Sentences
Precision@0.8· 2020-11-02
0.296
best: 0.617 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonJ-HMDB
AP· 2020-11-02
0.321
best: 0.45 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonJ-HMDB
IoU mean· 2020-11-02
0.576
best: 0.725 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonJ-HMDB
IoU overall· 2020-11-02
0.583
best: 0.737 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonJ-HMDB
Precision@0.5· 2020-11-02
0.773
best: 0.972 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonJ-HMDB
Precision@0.6· 2020-11-02
0.627
best: 0.917 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonJ-HMDB
Precision@0.7· 2020-11-02
0.36
best: 0.714 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonJ-HMDB
Precision@0.8· 2020-11-02
0.044
best: 0.225 (SgMg (Video-Swin-B))
SOTA
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonA2D Sentences
IoU mean· 2020-11-02
0.552
best: 0.725 (SOC (Video-Swin-B))
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonA2D Sentences
Precision@0.9· 2020-11-02
0.029
best: 0.259 (SgMg (Video-Swin-B))
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonA2D Sentences
IoU mean· 2020-11-02
0.552
best: 0.725 (SOC (Video-Swin-B))
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Referring Expression SegmentationonA2D Sentences
Precision@0.9· 2020-11-02
0.029
best: 0.259 (SgMg (Video-Swin-B))
Actor and Action Modular Network for Text-based Video Segmentation arXiv:2011.00786
Instance SegmentationonJ-HMDB
Precision@0.9
0
best: 0.4 (HINet)
Referring Expression SegmentationonJ-HMDB
Precision@0.9
0
best: 0.4 (HINet)