Results 41 to 50 of about 549,786 (309)

Multi-task Self-Supervised Visual Learning [PDF]

2017 IEEE International Conference on Computer Vision (ICCV), 2017
Published at ICCV ...
Doersch, C, Zisserman, A
openaire   +3 more sources

Self-Supervised Learning for Solar Radio Spectrum Classification

Universe, 2022
Solar radio observation is an important way to study the Sun. Solar radio bursts contain important information about solar activity. Therefore, real-time automatic detection and classification of solar radio bursts are of great value for subsequent solar
Siqi Li, Guowu Yuan, Jian Chen, Chengming Tan, Hao Zhou   +4 more
doaj   +1 more source

Experimental Case Study of Self-Supervised Learning for Voice Spoofing Detection

IEEE Access, 2023
This study aims to improve the performance of voice spoofing attack detection through self-supervised pre-training. Supervised learning needs appropriate input variables and corresponding labels for constructing the machine learning models that are to be
Yerin Lee, Narin Kim, Jaehong Jeong, Il-Youp Kwak   +3 more
doaj   +1 more source

Improving drug–target affinity prediction by adaptive self-supervised learning [PDF]

PeerJ Computer Science
Computational drug-target affinity prediction is important for drug screening and discovery. Currently, self-supervised learning methods face two major challenges in drug-target affinity prediction.
Qing Ye, Yaxin Sun
doaj   +2 more sources

Self-Supervised Learning for the Distinction between Computer-Graphics Images and Natural Images

Applied Sciences, 2023
With the increasing visual realism of computer-graphics (CG) images generated by advanced rendering engines, the distinction between CG images and natural images (NIs) has become an important research problem in the image forensics community.
Kai Wang
doaj   +1 more source

CASSL: Curriculum Accelerated Self-Supervised Learning

, 2018
Recent self-supervised learning approaches focus on using a few thousand data points to learn policies for high-level, low-dimensional action spaces.
Gandhi, Dhiraj, Gupta, Abhinav, Murali, Adithyavairavan, Pinto, Lerrel   +3 more
core   +1 more source

X-ray modalities in the era of artificial intelligence: overview of self-supervised learning approach

FACETS
Self-supervised learning enables the creation of algorithms that outperform supervised pre-training methods in numerous computer vision tasks. This paper provides a comprehensive overview of self-supervised learning applications across various X-ray ...
Ivan Martinović, Shitong Mao, Mehdy Dousty, Wuqi Li, Milena Đukanović, Errol Colak, Ervin Sejdić   +6 more
doaj   +1 more source

Discovering Lin-Kernighan-Helsgaun heuristic for routing optimization using self-supervised reinforcement learning

Journal of King Saud University: Computer and Information Sciences, 2023
Vehicle routing optimization is a crucial responsibility of transportation service providers, which can significantly reduce operating expenses and improve client satisfaction.
Qi Wang, Chengwei Zhang, Chunlei Tang
doaj   +1 more source

Self-Writer: Clusterable Embedding Based Self-Supervised Writer Recognition from Unlabeled Data

Mathematics, 2022
Writer recognition based on a small amount of handwritten text is one of the most challenging deep learning problems because of the implicit characteristics of handwriting styles.
Zabir Mohammad, Muhammad Mohsin Kabir, Muhammad Mostafa Monowar, Md Abdul Hamid, Muhammad Firoz Mridha   +4 more
doaj   +1 more source

Improvements to context based self-supervised learning

, 2018
We develop a set of methods to improve on the results of self-supervised learning using context. We start with a baseline of patch based arrangement context learning and go from there.
Chen, Barry Y., Ho, Daniel, Mundhenk, T. Nathan   +2 more
core   +1 more source