Object Detection Models

Fast Focal Detection Network

Introduced by Khan et al. in F2DNet: Fast Focal Detection Network for Pedestrian Detection

F2DNet, a novel two-stage object detection architecture which eliminates redundancy of classical two-stage detectors by replacing the region proposal network with focal detection network and bounding box head with fast suppression head.

Source: F2DNet: Fast Focal Detection Network for Pedestrian Detection

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Object Detection 1 50.00%
Pedestrian Detection 1 50.00%

Components


Component Type
🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

Categories