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Chapter and Conference Paper
A Convenient and Fast Method of Endoscope Calibration under Surgical Environment
How to get the calibration parameters of an endoscopic camera online is one of the most important steps in the three-dimensional reconstruction and draws great attention from researchers. One of general approa...
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Chapter and Conference Paper
Smooth Multi-instance Learning for Object Detection
The problem of object localization is one of the key problems in computer vision applications. Recently, multiple-instance learning (MIL) is a kind of machine learning framework which receiving a set of insta...
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Chapter and Conference Paper
A Relational Instance-Based Clustering Method with Contrastive Learning for Open Relation Extraction
Unsupervised text representations significantly narrow the gap with supervised pretraining, and relation clustering has gradually become an important method of open relational extraction (OpenRE). However, dif...
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Article
Semi-supervised partial label learning algorithm via reliable label propagation
Partial label learning (PLL) is a weakly supervised learning method that is able to predict one label as the correct answer from a given candidate label set. In PLL, when all possible candidate labels are as s...