inst-DML

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 2012, 60 proposals per image
Average Recall· 2017-03-30
0.667
best: 0.9126 (MDef-DETR)
SOTA
Semantic Instance Segmentation via Deep Metric Learning arXiv:1703.10277
2D ClassificationonPASCAL VOC 2012, 60 proposals per image
Average Recall· 2017-03-30
0.667
best: 0.9126 (MDef-DETR)
SOTA
Semantic Instance Segmentation via Deep Metric Learning arXiv:1703.10277
2D Object DetectiononPASCAL VOC 2012, 60 proposals per image
Average Recall· 2017-03-30
0.667
best: 0.9126 (MDef-DETR)
SOTA
Semantic Instance Segmentation via Deep Metric Learning arXiv:1703.10277
16konPASCAL VOC 2012, 60 proposals per image
Average Recall· 2017-03-30
0.667
best: 0.9126 (MDef-DETR)
SOTA
Semantic Instance Segmentation via Deep Metric Learning arXiv:1703.10277

Computer Vision1 result

Object DetectiononPASCAL VOC 2012, 60 proposals per image
Average Recall· 2017-03-30
0.667
best: 0.9126 (MDef-DETR)
SOTA
Semantic Instance Segmentation via Deep Metric Learning arXiv:1703.10277