Deep Feature Maps

Reported on 5 benchmarks across 5 tasks · 1 paper · 5 SOTA

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

Methodology4 results

3DonCOCO (Common Objects in Context)
MAP· 2016-03-01
47.9
best: 56.6 (MSLPD)
SOTA
Weakly Supervised Localization using Deep Feature Maps arXiv:1603.00489
2D ClassificationonCOCO (Common Objects in Context)
MAP· 2016-03-01
47.9
best: 56.6 (MSLPD)
SOTA
Weakly Supervised Localization using Deep Feature Maps arXiv:1603.00489
2D Object DetectiononCOCO (Common Objects in Context)
MAP· 2016-03-01
47.9
best: 56.6 (MSLPD)
SOTA
Weakly Supervised Localization using Deep Feature Maps arXiv:1603.00489
16konCOCO (Common Objects in Context)
MAP· 2016-03-01
47.9
best: 56.6 (MSLPD)
SOTA
Weakly Supervised Localization using Deep Feature Maps arXiv:1603.00489

Computer Vision1 result

Object DetectiononCOCO (Common Objects in Context)
MAP· 2016-03-01
47.9
best: 56.6 (MSLPD)
SOTA
Weakly Supervised Localization using Deep Feature Maps arXiv:1603.00489