Sill-Net

Reported on 6 benchmarks across 1 task · 1 paper · 6 SOTA

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

Robots6 results

Autonomous VehiclesonFlickrLogos-32
Accuracy· 2021-02-06
95.8
SOTA
Sill-Net: Feature Augmentation with Separated Illumination Representation arXiv:2102.03539
Autonomous VehiclesonBelgaLogos
Accuracy· 2021-02-06
89.48
SOTA
Sill-Net: Feature Augmentation with Separated Illumination Representation arXiv:2102.03539
Autonomous VehiclesonTopLogo-10
Accuracy· 2021-02-06
89.66
SOTA
Sill-Net: Feature Augmentation with Separated Illumination Representation arXiv:2102.03539
Autonomous VehiclesonBelgian Traffic Sign Classification
Accuracy· 2021-02-06
98.97
SOTA
Sill-Net: Feature Augmentation with Separated Illumination Representation arXiv:2102.03539
Autonomous VehiclesonTsinghua-Tencent 100K
Accuracy· 2021-02-06
99.53
SOTA
Sill-Net: Feature Augmentation with Separated Illumination Representation arXiv:2102.03539
Autonomous VehiclesonChinese Traffic Sign Database
Accuracy· 2021-02-06
97.19
SOTA
Sill-Net: Feature Augmentation with Separated Illumination Representation arXiv:2102.03539