WSDDN-Ens

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

3DonPASCAL VOC 2007
MAP· 2015-11-09
39.3
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
SOTA
Weakly Supervised Deep Detection Networks arXiv:1511.02853
2D ClassificationonPASCAL VOC 2007
MAP· 2015-11-09
39.3
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
SOTA
Weakly Supervised Deep Detection Networks arXiv:1511.02853
2D Object DetectiononPASCAL VOC 2007
MAP· 2015-11-09
39.3
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
SOTA
Weakly Supervised Deep Detection Networks arXiv:1511.02853
16konPASCAL VOC 2007
MAP· 2015-11-09
39.3
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
SOTA
Weakly Supervised Deep Detection Networks arXiv:1511.02853

Computer Vision1 result

Object DetectiononPASCAL VOC 2007
MAP· 2015-11-09
39.3
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
SOTA
Weakly Supervised Deep Detection Networks arXiv:1511.02853