One-Stage Object Detection Models

FCOS is an anchor-box free, proposal free, single-stage object detection model. By eliminating the predefined set of anchor boxes, FCOS avoids computation related to anchor boxes such as calculating overlapping during training. It also avoids all hyper-parameters related to anchor boxes, which are often very sensitive to the final detection performance.

Source: FCOS: Fully Convolutional One-Stage Object Detection

Papers


Paper Code Results Date Stars

Tasks


Task Papers Share
Object Detection 43 35.25%
Semantic Segmentation 13 10.66%
Instance Segmentation 11 9.02%
Pedestrian Detection 6 4.92%
Domain Adaptation 3 2.46%
Pose Estimation 3 2.46%
Classification 3 2.46%
Autonomous Driving 3 2.46%
Person Search 3 2.46%

Categories