Object Detection Models

Object Detection Models are architectures used to perform the task of object detection. Below you can find a continuously updating list of object detection models.

METHOD YEAR PAPERS
Faster R-CNN
2015 223
Mask R-CNN
2017 154
SSD
2015 122
RetinaNet
2017 81
YOLOv3
2018 46
YOLOv2
2016 35
R-FCN
2016 30
R-CNN
2013 29
Fast R-CNN
2015 24
Cascade R-CNN
2017 15
FCOS
2019 11
CenterNet
2019 8
PANet
2018 5
HTC
2019 5
CornerNet
2018 4
Grid R-CNN
2018 3
ThunderNet
2019 3
EfficientDet
2019 3
YOLOv1
2015 3
YOLOv4
2020 3
Libra R-CNN
2019 2
FoveaBox
2019 2
Detr
2020 2
ExtremeNet
2019 2
TridentNet
2019 1
M2Det
2018 1
RPDet
2019 1
CornerNet-Squeeze
2019 1
GCNet
2019 1
RFB Net
2017 1
RetinaMask
2019 1
Dynamic R-CNN
2020 1
CornerNet-Saccade
2019 1