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Zhenjie Cao

2 accepted papers

2023

Disentangling the Benefits of Self-Supervised Learning to Deployment-Driven Downstream Tasks of Satellite Images (Student Abstract)

AAAI 2023technical

In this paper, we investigate the benefits of self-supervised learning (SSL) to downstream tasks of satellite images. Unlike common student academic projects, this work focuses on the advantages of the SSL for deployment-driven tasks which have specific scenarios with low or high-spatial resolution…

Cited by 0SourcePDFScholar
2021

Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms

CVPR 2021poster

Mammographic mass detection is an integral part of a computer-aided diagnosis system. Annotating a large number of mammograms at pixel-level in order to train a mass detection model in a fully supervised fashion is costly and time-consuming. This paper presents a novel self-training framework for se…

Cited by 14PDFScholar