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cs.CV2020★ 1 cited
G-RCN: Optimizing the Gap between Classification and Localization Tasks for Object Detection
Yufan Luo, Li Xiao
Multi-task learning is widely used in computer vision. Currently, object detection models utilize shared feature map to complete classification and localization tasks simultaneousl…
cs.CV2020★ 1 cited
PBRnet: Pyramidal Bounding Box Refinement to Improve Object Localization Accuracy
Li Xiao, Yufan Luo, Chunlong Luo +5
Many recently developed object detectors focused on coarse-to-fine framework which contains several stages that classify and regress proposals from coarse-grain to fine-grain, and…
cs.CV2019★ 1 cited
DeepACEv2: Automated Chromosome Enumeration in Metaphase Cell Images Using Deep Convolutional Neural Networks
Li Xiao, Chunlong Luo, Tianqi Yu +6
Chromosome enumeration is an essential but tedious procedure in karyotyping analysis. To automate the enumeration process, we develop a chromosome enumeration framework, DeepACEv2,…