Found 3039 results, showing the newest relevant preprints. Sort by relevancy only.Update me on new preprints

Visualization approach to assess the robustness of neural networks for medical image classification

This means that it may not be possible to rely on deep learning to detect stable regions of interest in this field yet. Expand abstract.
23 days ago
5/10 relevant
arXiv

A Study on various state of the art of the Art Face Recognition System using Deep Learning Techniques

The first part of this review paper basically focuses on deep learning techniques used in face recognition and matching which as improved the accuracy of face recognition technique with training of huge sets of data. Expand abstract.
23 days ago
10/10 relevant
arXiv

Deep Anomaly Detection with Deviation Networks

Existing deep anomaly detection methods, which focus on learning new feature representations to enable downstream anomaly detection methods, perform indirect optimization of anomaly scores, leading to data-inefficient learning and suboptimal anomaly scoring. Expand abstract.
23 days ago
4/10 relevant
arXiv

Automated Human Claustrum Segmentation using Deep Learning Technologies

In recent years, Deep Learning (DL) has shown promising results in conducting AI tasks such as computer vision and image segmentation. Expand abstract.
24 days ago
10/10 relevant
arXiv

A Deep Learning Approach for Robust Corridor Following

We evaluate the performance of our method on this task on a Wheelchair Platform developed at our institute for this purpose. Expand abstract.
24 days ago
7/10 relevant
arXiv

ISP4ML: Understanding the Role of Image Signal Processing in Efficient Deep Learning Vision Systems

Results using ResNets demonstrate that these trends also generalize to deeper networks. Expand abstract.
24 days ago
7/10 relevant
arXiv

"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning

Our work has significant implications for future research regarding mechanisms of institutional accountability and considerations for designing machine learning systems. Expand abstract.
24 days ago
7/10 relevant
arXiv

DeepSide: A Deep Learning Framework for Drug Side Effect Prediction

We experiment with 5 deep learning architectures. Expand abstract.
24 days ago
10/10 relevant
bioRxiv

Towards the Automation of Deep Image Prior

Recently, this field has been immensely influenced by the emergence of deep-learning techniques. Expand abstract.
25 days ago
4/10 relevant
arXiv

Predicting Device-to-Device Channels from Cellular Channel Measurements: A Learning Approach

We propose a machine (deep) learning approach capable of predicting the D2D channel gains from seemingly independent cellular channels. Expand abstract.
25 days ago
4/10 relevant
arXiv