FRTM (val)

Reported on 6 benchmarks across 3 tasks · 1 paper · 3 SOTA

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

Computer Vision6 results

VideoonDAVIS 2016
Speed (FPS)· 2020-02-27
21.9
best: 100.1 (MobileVOS (BL30K))
SOTA
Learning Fast and Robust Target Models for Video Object Segmentation arXiv:2003.00908
Video Object SegmentationonDAVIS 2016
Speed (FPS)· 2020-02-27
21.9
best: 100.1 (MobileVOS (BL30K))
SOTA
Learning Fast and Robust Target Models for Video Object Segmentation arXiv:2003.00908
Semi-Supervised Video Object SegmentationonDAVIS 2016
Speed (FPS)· 2020-02-27
21.9
best: 100.1 (MobileVOS (BL30K))
SOTA
Learning Fast and Robust Target Models for Video Object Segmentation arXiv:2003.00908
VideoonDAVIS 2016
J&F· 2020-02-27
81.7
best: 93.4 (ISVOS (BL30K, MS))
Learning Fast and Robust Target Models for Video Object Segmentation arXiv:2003.00908
Video Object SegmentationonDAVIS 2016
J&F· 2020-02-27
81.7
best: 93.4 (ISVOS (BL30K, MS))
Learning Fast and Robust Target Models for Video Object Segmentation arXiv:2003.00908
Semi-Supervised Video Object SegmentationonDAVIS 2016
J&F· 2020-02-27
81.7
best: 93.4 (ISVOS (BL30K, MS))
Learning Fast and Robust Target Models for Video Object Segmentation arXiv:2003.00908