#1 Object Detection
FCOS is a popular, fully convolutional, anchor-free model for object detection. In this release we include a community-contributed model implementation as well as pre-trained weights. The model was trained on COCO train2017 and can be used as follows:
import torch
from torchvision import models

x = [torch.rand(3, 224, 224)]
fcos = models.detection.fcos_resnet50_fpn(pretrained=True).eval()
predictions =  fcos(x)

The box AP of the pre-trained model on COCO val2017 is 39.2 (see #4961 for more details).