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/MSCNN

MSCNN

Reported on 6 benchmarks across 6 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 Vision3 results

Face DetectiononWIDER Face (Hard)
AP· 2016-07-25
0.809
best: 0.934 (TinaFace(ResNet-50))
SOTA
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection arXiv:1607.07155
Face ReconstructiononWIDER Face (Hard)
AP· 2016-07-25
0.809
best: 0.934 (TinaFace(ResNet-50))
SOTA
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection arXiv:1607.07155
3D Face ReconstructiononWIDER Face (Hard)
AP· 2016-07-25
0.809
best: 0.934 (TinaFace(ResNet-50))
SOTA
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection arXiv:1607.07155

Music1 result

Facial Recognition and ModellingonWIDER Face (Hard)
AP· 2016-07-25
0.809
best: 0.934 (TinaFace(ResNet-50))
SOTA
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection arXiv:1607.07155

Methodology1 result

3DonWIDER Face (Hard)
AP· 2016-07-25
0.809
best: 0.934 (TinaFace(ResNet-50))
SOTA
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection arXiv:1607.07155

Medical1 result

3D Face ModellingonWIDER Face (Hard)
AP· 2016-07-25
0.809
best: 0.934 (TinaFace(ResNet-50))
SOTA
A Unified Multi-scale Deep Convolutional Neural Network for Fast Object Detection arXiv:1607.07155