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Found 6 papers, 3 papers with code
A Disease Labeler for Chinese Chest X-Ray Report Generation
On one hand, the construction of a Chinese chest X-ray report dataset is limited by the time-consuming and costly process of accurate expert disease annotation.
RealNet: A Feature Selection Network with Realistic Synthetic Anomaly for Anomaly Detection
Self-supervised feature reconstruction methods have shown promising advances in industrial image anomaly detection and localization.
Masked Contrastive Reconstruction for Cross-modal Medical Image-Report Retrieval
However, due to task competition and information interference caused by significant differences between the inputs of the two proxy tasks, the effectiveness of representation learning for intra-modal and cross-modal features is limited.
Weakly Supervised Anomaly Detection for Chest X-Ray Image
Chest X-Ray (CXR) examination is a common method for assessing thoracic diseases in clinical applications.
Supervised Anomaly Detection
Weakly-supervised Anomaly Detection
Confidence-Calibrated Face and Kinship Verification
In this paper, we investigate the problem of prediction confidence in face and kinship verification.
Neighborhood Repulsed Metric Learning for Kinship Verification
In this paper, we propose a new neighborhood repulsed metric learning (NRML) method for kinship verification.
Ranked #5 on
Kinship Verification
on KinFaceW-I
