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/SynBoost

SynBoost

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.

Methodology4 results

Anomaly DetectiononLost and Found
AP· uses extra data· 2021-03-09
70.43
best: 86.59 (Mask2Anomaly)
SOTA
Pixel-wise Anomaly Detection in Complex Driving Scenes arXiv:2103.05445
Anomaly DetectiononLost and Found
FPR· uses extra data· 2021-03-09
4.89
best: 44.48 (SML)
SOTA
Pixel-wise Anomaly Detection in Complex Driving Scenes arXiv:2103.05445
Anomaly DetectiononFishyscapes L&F
AP· uses extra data· 2021-03-09
43.22
best: 69.8 (cDNP+OE)
SOTA
Pixel-wise Anomaly Detection in Complex Driving Scenes arXiv:2103.05445
Anomaly DetectiononFishyscapes L&F
FPR95· uses extra data· 2021-03-09
15.79
best: 47.43 (Dirichlet DeepLab)
Pixel-wise Anomaly Detection in Complex Driving Scenes arXiv:2103.05445

Medical1 result

Semantic SegmentationonCityscapes val
mIoU· 2021-03-09
83.5
best: 90.3 (EfficientPS (Cityscapes-fine))
Pixel-wise Anomaly Detection in Complex Driving Scenes arXiv:2103.05445

Audio1 result

10-shot image generationonCityscapes val
mIoU· 2021-03-09
83.5
best: 90.3 (EfficientPS (Cityscapes-fine))
Pixel-wise Anomaly Detection in Complex Driving Scenes arXiv:2103.05445