Deep active learning in the presence of label noise: A survey

M Mots' oehli, K Baek - arXiv preprint arXiv:2302.11075, 2023 - arxiv.org
Deep active learning has emerged as a powerful tool for training deep learning models
within a predefined labeling budget. These models have achieved performances …

Cross-media Scientific Research Achievements Query based on Ranking Learning

B Wang, M Liang, A Li - arXiv preprint arXiv:2204.12121, 2022 - arxiv.org
With the advent of the information age, the scale of data on the Internet is getting larger and
larger, and it is full of text, images, videos, and other information. Different from social media …

Sensing Intrusion Detection for Automatic Driving System based on Scene Semantic Centroid

Z Zhao, B Yang, H Shu, Q Liu… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
Sensing intrusion is a new threat to information security of automatic driving system, which
employs digital noise like adversarial sample to show sensors fake information, aiming to …

[PDF][PDF] Deep Learning Multimodal for Unstructured and Semi-Structured Textual Documents Classification.

N Katamesh, O Abu-Elnasr… - Computers, Materials & …, 2021 - pdfs.semanticscholar.org
Due to the availability of a huge number of electronic text documents from a variety of
sources representing unstructured and semi-structured information, the document …

Cross-Media Scientific Research Achievements Retrieval Based on Deep Language Model

B Wang, M Liang, F Kou, M Xu - arXiv preprint arXiv:2203.15595, 2022 - arxiv.org
Science and technology big data contain a lot of cross-media information. There are images
and texts in the scientific paper. The s ingle modal search method cannot well meet the …