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Models/DLDA

DLDA

Reported on 6 benchmarks across 2 tasks · 1 paper

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

Computer Vision6 results

VideoonDAVIS 2016 val
F· uses extra data· 2024-01-25
86.6
best: 90.2 (DEVA (DIS))
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention arXiv:2401.13937
VideoonDAVIS 2016 val
G· uses extra data· 2024-01-25
85.75
best: 88.9 (GSANet)
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention arXiv:2401.13937
VideoonDAVIS 2016 val
J· uses extra data· 2024-01-25
84.9
best: 88.3 (GSANet)
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention arXiv:2401.13937
Video Object SegmentationonDAVIS 2016 val
F· uses extra data· 2024-01-25
86.6
best: 90.2 (DEVA (DIS))
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention arXiv:2401.13937
Video Object SegmentationonDAVIS 2016 val
G· uses extra data· 2024-01-25
85.75
best: 88.9 (GSANet)
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention arXiv:2401.13937
Video Object SegmentationonDAVIS 2016 val
J· uses extra data· 2024-01-25
84.9
best: 88.3 (GSANet)
Self-supervised Video Object Segmentation with Distillation Learning of Deformable Attention arXiv:2401.13937