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Found 7 papers, 1 papers with code
ChartPointFlow for Topology-Aware 3D Point Cloud Generation
Then, a map conditioned on a label is assigned to a continuous subset of a point cloud, similar to a chart of a manifold.
Exploring Uncertainty Measures for Image-Caption Embedding-and-Retrieval Task
With the wide development of black-box machine learning algorithms, particularly deep neural network (DNN), the practical demand for the reliability assessment is rapidly rising.
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
We also confirmed that deep CNNs with RICAP achieve better results on classification tasks using CIFAR-100 and ImageNet and an image-caption retrieval task using Microsoft COCO.
Deep Generative Model using Unregularized Score for Anomaly Detection with Heterogeneous Complexity
Empirical results demonstrate that the unregularized score is robust to the inherent complexity of samples and can be used to better detect anomalies.
Deep Neural Generative Model of Functional MRI Images for Psychiatric Disorder Diagnosis
This study applied the proposed model to diagnose schizophrenia and bipolar disorders.
A Novel Weight-Shared Multi-Stage CNN for Scale Robustness
The proposed WSMS-Net is easily combined with existing deep CNNs such as ResNet and DenseNet and enables them to acquire robustness to object scaling.
