Meitu Technology
Aug 17, 2018 · Artificial Intelligence
Deep Learning-based Object Detection Algorithm Review (Part 2): Solutions and Network Improvements
The article reviews deep learning object detection solutions: small object detection via FPN and TDM, irregular shapes via deformable convolution, sample imbalance via focal loss and cascade methods, occlusion handling with Soft‑NMS and RRC, large‑batch training using MegDet, relationship modeling with Relation Networks, and network improvements such as DetNet, RefineDet, Pelee, and RFBNet.
Deep LearningFPNFocal Loss
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