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Models/Online Fg Bal. Sampling+Hard Negative Mining (ResNet-50)

Online Fg Bal. Sampling+Hard Negative Mining (ResNet-50)

Reported on 10 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.

Methodology8 results

3DonCOCO minival
AP50· 2019-09-21
55.3
best: 82.1 (EVA)
Generating Positive Bounding Boxes for Balanced Training of Object Detectors arXiv:1909.09777
3DonCOCO minival
box AP· 2019-09-21
35.6
best: 66 (PE_spatial (DETA))
Generating Positive Bounding Boxes for Balanced Training of Object Detectors arXiv:1909.09777
2D ClassificationonCOCO minival
AP50· 2019-09-21
55.3
best: 82.1 (EVA)
Generating Positive Bounding Boxes for Balanced Training of Object Detectors arXiv:1909.09777
2D ClassificationonCOCO minival
box AP· 2019-09-21
35.6
best: 66 (PE_spatial (DETA))
Generating Positive Bounding Boxes for Balanced Training of Object Detectors arXiv:1909.09777
2D Object DetectiononCOCO minival
AP50· 2019-09-21
55.3
best: 82.1 (EVA)
Generating Positive Bounding Boxes for Balanced Training of Object Detectors arXiv:1909.09777
2D Object DetectiononCOCO minival
box AP· 2019-09-21
35.6
best: 66 (PE_spatial (DETA))
Generating Positive Bounding Boxes for Balanced Training of Object Detectors arXiv:1909.09777
16konCOCO minival
AP50· 2019-09-21
55.3
best: 82.1 (EVA)
Generating Positive Bounding Boxes for Balanced Training of Object Detectors arXiv:1909.09777
16konCOCO minival
box AP· 2019-09-21
35.6
best: 66 (PE_spatial (DETA))
Generating Positive Bounding Boxes for Balanced Training of Object Detectors arXiv:1909.09777

Computer Vision2 results

Object DetectiononCOCO minival
AP50· 2019-09-21
55.3
best: 82.1 (EVA)
Generating Positive Bounding Boxes for Balanced Training of Object Detectors arXiv:1909.09777
Object DetectiononCOCO minival
box AP· 2019-09-21
35.6
best: 66 (PE_spatial (DETA))
Generating Positive Bounding Boxes for Balanced Training of Object Detectors arXiv:1909.09777