A survey on generative adversarial networks for imbalance problems in computer vision tasks
Any computer vision application development starts off by acquiring images and data, then
preprocessing and pattern recognition steps to perform a task. When the acquired images …
preprocessing and pattern recognition steps to perform a task. When the acquired images …
A survey on gans for anomaly detection
Anomaly detection is a significant problem faced in several research areas. Detecting and
correctly classifying something unseen as anomalous is a challenging problem that has …
correctly classifying something unseen as anomalous is a challenging problem that has …
QCD or What?
Autoencoder networks, trained only on QCD jets, can be used to search for anomalies in jet-
substructure. We show how, based either on images or on 4-vectors, they identify jets from …
substructure. We show how, based either on images or on 4-vectors, they identify jets from …
Virtual microstructure design for steels using generative adversarial networks
The prediction of macro‐scale materials properties from microstructures, and vice versa,
should be a key part in modeling quantitative microstructure‐physical property relationships …
should be a key part in modeling quantitative microstructure‐physical property relationships …
Semi-supervised learning using adversarial training with good and bad samples
In this work, we investigate semi-supervised learning (SSL) for image classification using
adversarial training. Previous results have illustrated that generative adversarial networks …
adversarial training. Previous results have illustrated that generative adversarial networks …
Cross attention transformers for multi-modal unsupervised whole-body pet anomaly detection
Cancers can have highly heterogeneous uptake patterns best visualised in positron
emission tomography. These patterns are essential to detect, diagnose, stage and predict …
emission tomography. These patterns are essential to detect, diagnose, stage and predict …
Anomaly detection of aerospace facilities using GANomaly
In the field of aerospace, the abnormal detection of data is of great significance. The rapid
and effective detection of abnormal parameters is key to find potential failures of spacecraft …
and effective detection of abnormal parameters is key to find potential failures of spacecraft …
Image generation using generative adversarial networks
Ever heard of generation of image datasets, human faces, cartoon characters, 3D objects,
image-to-image and text-to-image translation, face aging, photo blending, and others? How …
image-to-image and text-to-image translation, face aging, photo blending, and others? How …
A generative model based approach for zero-shot breast cancer segmentation explaining pixels' contribution to the model's prediction
Deep learning has extensively helped us to analyze complicated distributions of data and
extract meaningful information from the same. But the fundamental problem still remains …
extract meaningful information from the same. But the fundamental problem still remains …
Segmentation Explaining Pixels'
Deep learning has extensively helped us to analyze complicated distributions of data and
extract meaningful information from the same. But the fundamental problem still remains …
extract meaningful information from the same. But the fundamental problem still remains …