Methods > Computer Vision > Object Detection Models

M2Det 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

Latest Papers

PAPER DATE
M2Det: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
| Qijie ZhaoTao ShengYongtao WangZhi TangYing ChenLing CaiHaibin Ling
2018-11-12

Tasks

TASK PAPERS SHARE
Object Classification 1 50.00%
Object Detection 1 50.00%

Categories