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/GC

GC

Reported on 22 benchmarks across 4 tasks · 2 papers · 10 SOTA

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

Computer Vision21 results

VideoonDAVIS (no YouTube-VOS training)
D16 val (G)· 2020-01-30
86.6
best: 89.4 (HMMN)
SOTA
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
VideoonDAVIS (no YouTube-VOS training)
D16 val (J)· 2020-01-30
87.6
best: 88.2 (HMMN)
SOTA
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
VideoonDAVIS (no YouTube-VOS training)
D17 val (J)· 2020-01-30
69.3
best: 77.7 (HMMN)
SOTA
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (G)· 2020-01-30
86.6
best: 89.4 (HMMN)
SOTA
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (J)· 2020-01-30
87.6
best: 88.2 (HMMN)
SOTA
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (J)· 2020-01-30
69.3
best: 77.7 (HMMN)
SOTA
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (G)· 2020-01-30
86.6
best: 89.4 (HMMN)
SOTA
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (J)· 2020-01-30
87.6
best: 88.2 (HMMN)
SOTA
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (J)· 2020-01-30
69.3
best: 77.7 (HMMN)
SOTA
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
VideoonDAVIS (no YouTube-VOS training)
D16 val (F)· 2020-01-30
85.7
best: 90.6 (HMMN)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
VideoonDAVIS (no YouTube-VOS training)
D17 val (F)· 2020-01-30
73.5
best: 83.1 (HMMN)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
VideoonDAVIS (no YouTube-VOS training)
D17 val (G)· 2020-01-30
71.4
best: 80.4 (HMMN)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
VideoonDAVIS (no YouTube-VOS training)
FPS· 2020-01-30
25
best: 50.1 (TBD)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (F)· 2020-01-30
85.7
best: 90.6 (HMMN)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (F)· 2020-01-30
73.5
best: 83.1 (HMMN)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (G)· 2020-01-30
71.4
best: 80.4 (HMMN)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Video Object SegmentationonDAVIS (no YouTube-VOS training)
FPS· 2020-01-30
25
best: 50.1 (TBD)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D16 val (F)· 2020-01-30
85.7
best: 90.6 (HMMN)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (F)· 2020-01-30
73.5
best: 83.1 (HMMN)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
D17 val (G)· 2020-01-30
71.4
best: 80.4 (HMMN)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243
Semi-Supervised Video Object SegmentationonDAVIS (no YouTube-VOS training)
FPS· 2020-01-30
25
best: 50.1 (TBD)
Fast Video Object Segmentation using the Global Context Module arXiv:2001.11243

Graphs1 result

Graph RegressiononLipophilicity
RMSE· 2015-09-30
0.655
best: 0.58 (ProtoS-L2)
SOTA
Convolutional Networks on Graphs for Learning Molecular Fingerprints arXiv:1509.09292