Weakly Supervised Object Detection On Coco
Metrics
MAP
Results
Performance results of various models on this benchmark
Model Name | MAP | Paper Title | Repository |
|---|---|---|---|
| WILDCAT | 53.4 | WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation | |
| MSLPD | 56.6 | Few-Example Object Detection with Model Communication | |
| SPNs | 55.3 | Soft Proposal Networks for Weakly Supervised Object Localization | |
| Deep Feature Maps | 47.9 | Weakly Supervised Localization using Deep Feature Maps | - |
| ProNet | 43.5 | ProNet: Learning to Propose Object-specific Boxes for Cascaded Neural Networks | - |
0 of 5 row(s) selected.