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Models/DeVIS (Swin-L)

DeVIS (Swin-L)

Reported on 15 benchmarks across 1 task · 1 paper

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

Computer Vision15 results

Video Instance SegmentationonYouTube-VIS 2021
AP50· 2022-07-22
77.7
best: 87.3 (CAVIS(VIT-L, Offline))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonYouTube-VIS 2021
AP75· 2022-07-22
59.8
best: 73.2 (CAVIS(VIT-L, Offline))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonYouTube-VIS 2021
AR1· 2022-07-22
43.8
best: 49.7 (CAVIS(VIT-L, Offline))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonYouTube-VIS 2021
AR10· 2022-07-22
57.8
best: 70.7 (DVIS-DAQ(VIT-L, Offline))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonYouTube-VIS 2021
mask AP· 2022-07-22
54.4
best: 65.3 (CAVIS(VIT-L, Offline))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonYouTube-VIS validation
AP50· 2022-07-22
80.8
best: 89.3 (CAVIS(ViT-L, Online))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonYouTube-VIS validation
AP75· 2022-07-22
66.3
best: 76.2 (CAVIS(ViT-L, Online))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonYouTube-VIS validation
AR1· 2022-07-22
50.8
best: 58.3 (CAVIS(ViT-L, Online))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonYouTube-VIS validation
AR10· 2022-07-22
61
best: 73.7 (DVIS++(ViT-L, Online))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonYouTube-VIS validation
mask AP· 2022-07-22
57.1
best: 68.9 (CAVIS(ViT-L, Online))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonOVIS validation
AP50· 2022-07-22
59.3
best: 83.8 (DVIS-DAQ(VIT-L, Offline))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonOVIS validation
AP75· 2022-07-22
38.3
best: 63.5 (CAVIS(VIT-L, Offline))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonOVIS validation
AR1· 2022-07-22
16.6
best: 21.2 (CAVIS(VIT-L, Offline))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonOVIS validation
AR10· 2022-07-22
39.8
best: 61.8 (CAVIS(VIT-L, Offline))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103
Video Instance SegmentationonOVIS validation
mask AP· 2022-07-22
35.5
best: 57.1 (DVIS-DAQ(VIT-L, Offline))
DeVIS: Making Deformable Transformers Work for Video Instance Segmentation arXiv:2207.11103