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Models/MSLPD

MSLPD

Reported on 20 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.

Methodology16 results

3DonCOCO (Common Objects in Context)
MAP· 2017-06-26
56.6
SOTA
Few-Example Object Detection with Model Communication arXiv:1706.08249
2D ClassificationonCOCO (Common Objects in Context)
MAP· 2017-06-26
56.6
SOTA
Few-Example Object Detection with Model Communication arXiv:1706.08249
2D Object DetectiononCOCO (Common Objects in Context)
MAP· 2017-06-26
56.6
SOTA
Few-Example Object Detection with Model Communication arXiv:1706.08249
16konCOCO (Common Objects in Context)
MAP· 2017-06-26
56.6
SOTA
Few-Example Object Detection with Model Communication arXiv:1706.08249
3DonPASCAL VOC 2007
MAP· 2017-06-26
41.7
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
Few-Example Object Detection with Model Communication arXiv:1706.08249
3DonPASCAL VOC 2012 test
MAP· 2017-06-26
35.4
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
Few-Example Object Detection with Model Communication arXiv:1706.08249
3DonImageNet
MAP· 2017-06-26
13.9
best: 19.6 (PCL-OB-G-Ens + FRCNN)
Few-Example Object Detection with Model Communication arXiv:1706.08249
2D ClassificationonPASCAL VOC 2007
MAP· 2017-06-26
41.7
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
Few-Example Object Detection with Model Communication arXiv:1706.08249
2D ClassificationonPASCAL VOC 2012 test
MAP· 2017-06-26
35.4
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
Few-Example Object Detection with Model Communication arXiv:1706.08249
2D ClassificationonImageNet
MAP· 2017-06-26
13.9
best: 19.6 (PCL-OB-G-Ens + FRCNN)
Few-Example Object Detection with Model Communication arXiv:1706.08249
2D Object DetectiononPASCAL VOC 2007
MAP· 2017-06-26
41.7
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
Few-Example Object Detection with Model Communication arXiv:1706.08249
2D Object DetectiononPASCAL VOC 2012 test
MAP· 2017-06-26
35.4
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
Few-Example Object Detection with Model Communication arXiv:1706.08249
2D Object DetectiononImageNet
MAP· 2017-06-26
13.9
best: 19.6 (PCL-OB-G-Ens + FRCNN)
Few-Example Object Detection with Model Communication arXiv:1706.08249
16konPASCAL VOC 2007
MAP· 2017-06-26
41.7
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
Few-Example Object Detection with Model Communication arXiv:1706.08249
16konPASCAL VOC 2012 test
MAP· 2017-06-26
35.4
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
Few-Example Object Detection with Model Communication arXiv:1706.08249
16konImageNet
MAP· 2017-06-26
13.9
best: 19.6 (PCL-OB-G-Ens + FRCNN)
Few-Example Object Detection with Model Communication arXiv:1706.08249

Computer Vision4 results

Object DetectiononCOCO (Common Objects in Context)
MAP· 2017-06-26
56.6
SOTA
Few-Example Object Detection with Model Communication arXiv:1706.08249
Object DetectiononPASCAL VOC 2007
MAP· 2017-06-26
41.7
best: 73.4 (WeakSAM-MIST-DINO (with SAM))
Few-Example Object Detection with Model Communication arXiv:1706.08249
Object DetectiononPASCAL VOC 2012 test
MAP· 2017-06-26
35.4
best: 70.2 (WeakSAM-MIST-DINO (with SAM))
Few-Example Object Detection with Model Communication arXiv:1706.08249
Object DetectiononImageNet
MAP· 2017-06-26
13.9
best: 19.6 (PCL-OB-G-Ens + FRCNN)
Few-Example Object Detection with Model Communication arXiv:1706.08249