Object Detection Models
M2Det
Introduced by Zhao et al. in M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid NetworkM2Det is a one-stage object detection model that utilises a Multi-Level Feature Pyramid Network (MLFPN) to extract features from the input image, and then similar to SSD, produces dense bounding boxes and category scores based on the learned features, followed by the non-maximum suppression (NMS) operation to produce the final results.
Source: M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| 3D Feature Matching | 1 | 14.29% |
| document understanding | 1 | 14.29% |
| Text Detection | 1 | 14.29% |
| Text Spotting | 1 | 14.29% |
| Decoder | 1 | 14.29% |
| Object | 1 | 14.29% |
| Object Detection | 1 | 14.29% |
MLFPN
Non Maximum Suppression
