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20132023
most citedGeneralized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection

272 citations · 959 across the 34 of their papers we have counts for

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Showing 2019Show all

6 papers · 1 filter

eess.IV2019

Trident Segmentation CNN: A Spatiotemporal Transformation CNN for Punctate White Matter Lesions Segmentation in Preterm Neonates

Yalong Liu, Jie Li, Miaomiao Wang +3

Accurate segmentation of punctate white matter lesions (PWML) in preterm neonates by an automatic algorithm can better assist doctors in diagnosis. However, the existing algorithms…

cs.CV2019★ 17 cited

Cross-X Learning for Fine-Grained Visual Categorization

Wei Luo, Xitong Yang, Xianjie Mo +5

Recognizing objects from subcategories with very subtle differences remains a challenging task due to the large intra-class and small inter-class variation. Recent work tackles thi…

eess.IV2019

Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm Infants

Yalong Liu, Jie Li, Ying Wang +5

Accurate segmentation of punctate white matter lesion (PWML) in infantile brains by an automatic algorithm can reduce the potential risk of postnatal development. How to segment PW…

cs.CV2019★ 178 cited

Spatial Group-wise Enhance: Improving Semantic Feature Learning in Convolutional Networks

Xiang Li, Xiaolin Hu, Jian Yang

The Convolutional Neural Networks (CNNs) generate the feature representation of complex objects by collecting hierarchical and different parts of semantic sub-features. These sub-f…

cs.CV2019★ 63 cited

Shape Robust Text Detection with Progressive Scale Expansion Network

Wenhai Wang, Enze Xie, Xiang Li +4

Scene text detection has witnessed rapid progress especially with the recent development of convolutional neural networks. However, there still exists two challenges which prevent…

cs.CV2019★ 57 cited

2017 Robotic Instrument Segmentation Challenge

Max Allan, Alex Shvets, Thomas Kurmann +16

In mainstream computer vision and machine learning, public datasets such as ImageNet, COCO and KITTI have helped drive enormous improvements by enabling researchers to understand t…