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Difficulty-aware Glaucoma Classification with Multi-Rater Consensus Modeling
Medical images are generally labeled by multiple experts before the fina...
07/29/2020 ∙ by Shuang Yu, et al. ∙
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A Macro-Micro Weakly-supervised Framework for AS-OCT Tissue Segmentation
Primary angle closure glaucoma (PACG) is the leading cause of irreversib...
07/20/2020 ∙ by Munan Ning, et al. ∙
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Comparing to Learn: Surpassing ImageNet Pretraining on Radiographs By Comparing Image Representations
In deep learning era, pretrained models play an important role in medica...
07/15/2020 ∙ by Hong-Yu Zhou, et al. ∙
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Learning Expectation of Label Distribution for Facial Age and Attractiveness Estimation
Facial attributes (e.g., age and attractiveness) estimation performance ...
07/03/2020 ∙ by Bin-Bin Gao, et al. ∙
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Multi-Label Image Recognition with Multi-Class Attentional Regions
Multi-label image recognition is a practical and challenging task compar...
07/03/2020 ∙ by Bin-Bin Gao, et al. ∙
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When Semi-Supervised Learning Meets Transfer Learning: Training Strategies, Models and Datasets
Semi-Supervised Learning (SSL) has been proved to be an effective way to...
12/13/2018 ∙ by Hong-Yu Zhou, et al. ∙
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Vortex Pooling: Improving Context Representation in Semantic Segmentation
Semantic segmentation is a fundamental task in computer vision, which ca...
04/17/2018 ∙ by Chen-Wei Xie, et al. ∙
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Code Attention: Translating Code to Comments by Exploiting Domain Features
Appropriate comments of code snippets provide insight for code functiona...
09/22/2017 ∙ by Wenhao Zheng, et al. ∙
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Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
Object detection aims at high speed and accuracy simultaneously. However...
07/20/2017 ∙ by Hong-Yu Zhou, et al. ∙
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Sunrise or Sunset: Selective Comparison Learning for Subtle Attribute Recognition
The difficulty of image recognition has gradually increased from general...
07/20/2017 ∙ by Hong-Yu Zhou, et al. ∙
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