Video Object Segmentation
Video object segmentation is a binary labeling problem aiming to separate foreground object(s) from the background region of a video.
For leaderboards please refer to the different subtasks.
Papers
Showing 1–10 of 551 papers
All datasetsDAVIS 2016DAVIS 2017 (val)YouTube-VOS 2018DAVIS-2017 (test-dev)YouTube-VOS 2019DAVIS 2017M^3-VOSFBMSYouTubeFBMS-59MOSESegTrack-v2
Benchmark Results
| # | Model | Metric | Claimed | Verified | Status |
|---|---|---|---|---|---|
| 1 | XMem (BL30K, MS) | Mean Jaccard & F-Measure | 86.9 | — | Unverified |
| 2 | AOT | Mean Jaccard & F-Measure | 84.1 | — | Unverified |
| 3 | RPCMVOS | Mean Jaccard & F-Measure | 84 | — | Unverified |
| 4 | STCN | Mean Jaccard & F-Measure | 83 | — | Unverified |
| 5 | CFBI+ | Mean Jaccard & F-Measure | 82.8 | — | Unverified |
| 6 | RMN | Jaccard (Seen) | 82.1 | — | Unverified |
| 7 | LCM | Mean Jaccard & F-Measure | 82 | — | Unverified |
| 8 | TransVOS | Mean Jaccard & F-Measure | 81.8 | — | Unverified |
| 9 | SST | Mean Jaccard & F-Measure | 81.7 | — | Unverified |
| 10 | LWL | Mean Jaccard & F-Measure | 81.5 | — | Unverified |