Tasks SotA Datasets Papers Methods Submit About

Papers With Code 2

A community resource for machine learning research: papers, code, benchmarks, and state-of-the-art results.

Explore

Notable Benchmarks All SotA Datasets Papers Methods

Community

Submit Results About

Data sourced from the PWC Archive (CC-BY-SA 4.0). Built by the community, for the community.

Models/BMVOS

BMVOS

Reported on 30 benchmarks across 3 tasks · 1 paper · 6 SOTA

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

Computer Vision30 results

VideoonDAVIS (no YouTube-VOS training)
D17 test (J)· 2021-10-04
60.7
best: 66.6 (TBD)
SOTA
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
VideoonDAVIS (no YouTube-VOS training)
FPS· 2021-10-04
45.9
best: 50.1 (TBD)
SOTA
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 test (J)· 2021-10-04
60.7
best: 66.6 (TBD)
SOTA
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Video Object SegmentationonDAVIS (no YouTube-VOS training)
FPS· 2021-10-04
45.9
best: 50.1 (TBD)
SOTA
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 test (J)· 2021-10-04
60.7
best: 66.6 (TBD)
SOTA
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
FPS· 2021-10-04
45.9
best: 50.1 (TBD)
SOTA
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
VideoonDAVIS (no YouTube-VOS training)
D16 val (F)· 2021-10-04
81.4
best: 90.6 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
VideoonDAVIS (no YouTube-VOS training)
D16 val (G)· 2021-10-04
82.2
best: 89.4 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
VideoonDAVIS (no YouTube-VOS training)
D16 val (J)· 2021-10-04
82.9
best: 88.2 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
VideoonDAVIS (no YouTube-VOS training)
D17 test (F)· 2021-10-04
64.7
best: 72.2 (TBD)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
VideoonDAVIS (no YouTube-VOS training)
D17 test (G)· 2021-10-04
62.7
best: 69.4 (TBD)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
VideoonDAVIS (no YouTube-VOS training)
D17 val (F)· 2021-10-04
74.7
best: 83.1 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
VideoonDAVIS (no YouTube-VOS training)
D17 val (G)· 2021-10-04
72.7
best: 80.4 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
VideoonDAVIS (no YouTube-VOS training)
D17 val (J)· 2021-10-04
70.7
best: 77.7 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (F)· 2021-10-04
81.4
best: 90.6 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (G)· 2021-10-04
82.2
best: 89.4 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (J)· 2021-10-04
82.9
best: 88.2 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 test (F)· 2021-10-04
64.7
best: 72.2 (TBD)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 test (G)· 2021-10-04
62.7
best: 69.4 (TBD)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (F)· 2021-10-04
74.7
best: 83.1 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (G)· 2021-10-04
72.7
best: 80.4 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (J)· 2021-10-04
70.7
best: 77.7 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (F)· 2021-10-04
81.4
best: 90.6 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (G)· 2021-10-04
82.2
best: 89.4 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (J)· 2021-10-04
82.9
best: 88.2 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 test (F)· 2021-10-04
64.7
best: 72.2 (TBD)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 test (G)· 2021-10-04
62.7
best: 69.4 (TBD)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (F)· 2021-10-04
74.7
best: 83.1 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (G)· 2021-10-04
72.7
best: 80.4 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (J)· 2021-10-04
70.7
best: 77.7 (HMMN)
Pixel-Level Bijective Matching for Video Object Segmentation arXiv:2110.01644