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Models/MELM

MELM

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

3DonPASCAL VOC 2007
MAP· 2019-02-16
47.3
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
Min-Entropy Latent Model for Weakly Supervised Object Detection arXiv:1902.06057
3DonPASCAL VOC 2012 test
MAP· 2019-02-16
42.4
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
Min-Entropy Latent Model for Weakly Supervised Object Detection arXiv:1902.06057
2D ClassificationonPASCAL VOC 2007
MAP· 2019-02-16
47.3
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
Min-Entropy Latent Model for Weakly Supervised Object Detection arXiv:1902.06057
2D ClassificationonPASCAL VOC 2012 test
MAP· 2019-02-16
42.4
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
Min-Entropy Latent Model for Weakly Supervised Object Detection arXiv:1902.06057
2D Object DetectiononPASCAL VOC 2007
MAP· 2019-02-16
47.3
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
Min-Entropy Latent Model for Weakly Supervised Object Detection arXiv:1902.06057
2D Object DetectiononPASCAL VOC 2012 test
MAP· 2019-02-16
42.4
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
Min-Entropy Latent Model for Weakly Supervised Object Detection arXiv:1902.06057
16konPASCAL VOC 2007
MAP· 2019-02-16
47.3
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
Min-Entropy Latent Model for Weakly Supervised Object Detection arXiv:1902.06057
16konPASCAL VOC 2012 test
MAP· 2019-02-16
42.4
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
Min-Entropy Latent Model for Weakly Supervised Object Detection arXiv:1902.06057

Computer Vision2 results

Object DetectiononPASCAL VOC 2007
MAP· 2019-02-16
47.3
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
Min-Entropy Latent Model for Weakly Supervised Object Detection arXiv:1902.06057
Object DetectiononPASCAL VOC 2012 test
MAP· 2019-02-16
42.4
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
Min-Entropy Latent Model for Weakly Supervised Object Detection arXiv:1902.06057