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Xianyu Technology
Xianyu Technology
Dec 11, 2019 · Artificial Intelligence

Improving Small Object Detection for UI2CODE via Data Augmentation and Model Optimization

The study enhances UI2CODE’s ability to detect tiny UI components by augmenting training data with copied small objects, upgrading the detector from Faster RCNN to FPN and Cascade FPN, and refining box positions with smoothing and projection, achieving superior small‑object mAP/mAR and enabling broader UI parsing applications.

FPNUI2Codecomputer vision
0 likes · 9 min read
Improving Small Object Detection for UI2CODE via Data Augmentation and Model Optimization
Meitu Technology
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.

FPNFocal LossNeural networks
0 likes · 38 min read
Deep Learning-based Object Detection Algorithm Review (Part 2): Solutions and Network Improvements