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] 
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) 
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
Last updated
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