AutoAug-det

Reported on 5 benchmarks across 5 tasks · 1 paper

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

Methodology4 results

3DonCityscapes
mPC [AP]· 2019-06-26
15.8
best: 27.4 (FGT (SD-1.5 Backbone))
Learning Data Augmentation Strategies for Object Detection arXiv:1906.11172
2D ClassificationonCityscapes
mPC [AP]· 2019-06-26
15.8
best: 27.4 (FGT (SD-1.5 Backbone))
Learning Data Augmentation Strategies for Object Detection arXiv:1906.11172
2D Object DetectiononCityscapes
mPC [AP]· 2019-06-26
15.8
best: 27.4 (FGT (SD-1.5 Backbone))
Learning Data Augmentation Strategies for Object Detection arXiv:1906.11172
16konCityscapes
mPC [AP]· 2019-06-26
15.8
best: 27.4 (FGT (SD-1.5 Backbone))
Learning Data Augmentation Strategies for Object Detection arXiv:1906.11172

Computer Vision1 result

Object DetectiononCityscapes
mPC [AP]· 2019-06-26
15.8
best: 27.4 (FGT (SD-1.5 Backbone))
Learning Data Augmentation Strategies for Object Detection arXiv:1906.11172