Detection

detection (shall including semantic, panoptic segmentation)

Survey Papers / Repos
Object Detection with Deep Learning: A Review [1807.05511]​
Deep Learning for Generic Object Detection: A Survey [1809.02165]​
Object Detection in 20 Years: A Survey [1905.05055]​
​hoya012/deep_learning_object_detection​
​amusi/awesome-object-detection​
Resources
​torchvision - object detection: official pytorch toolkit for vision
​open-mmlab/mmdetection: a marvellous open sourced lib with nearly all SOTA models
​facebookresearch/detectron2: detectron implemented in pytorch by Facebook
​TuSimple/simpledet: detection lib by TuSimple
hardly used now (2019.11)
​facebookresearch/Detectron​
​facebookresearch/maskrcnn-benchmark​
Models
Two Stage (Region Proposal + ROI Head)
Faster RCNN [1506.01497]​
R-FCN [1605.06409]​
Feature Pyramid Network [1612.03144]​
Mask RCNN [1703.06870]​
Cascade RCNN [1712.00726]​
Hybrid Task Cascade [1901.07518]​
HRNet [1908.07919]​
One Stage
SSD [1512.02325]​
YOLOv1 [1506.02640]​
YOLOv2 [1612.08242]​
RetinaNet (Focal Loss) [1708.02002]​
YOLOv3 [1804.02767]​
CornerNet [1808.01244]​
CenterNet [1904.07850]​
CenterNet [1904.08189]​
EfficientDet [1911.09070]​
Others
Online Hard Example Mining (OHEM)
Mean Average Precision (mAP)
Empirical Upper-bound in Object Detection and More [1911.12451]​
Datasets
​PASCAL VOC​
​COCO​
​Open Images Dataset​

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Semantic Segmentation

Last modified 1yr ago