Zobrazeno 1 - 10
of 69
pro vyhledávání: '"Shuohao Li"'
Publikováno v:
ChemPhysMater, Vol 3, Iss 1, Pp 24-35 (2024)
Atomically dispersed single-atom catalysts (SACs) have been extensively studied over the past decade because of their high atom utilization efficiencies and specific selectivities. Although numerous strategies have been proposed to obtain SACs with h
Externí odkaz:
https://doaj.org/article/8775df22feaf4eb2892d379b374e6d0a
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 9, p 119 (2024)
The rapid development of generative technologies has made the production of forged products easier, and AI-generated forged images are increasingly difficult to accurately detect, posing serious privacy risks and cognitive obstacles to individuals an
Externí odkaz:
https://doaj.org/article/cc51942c765848dbb21aac32b5c8e706
Publikováno v:
IET Image Processing, Vol 17, Iss 2, Pp 581-596 (2023)
Abstract Face forgery represented by DeepFake technique has raised severe societal concerns. Due to the different scales of tampering traces and the different resolutions of face images, adopting common processing pipelines and standard form of convo
Externí odkaz:
https://doaj.org/article/61accee97cdb4ee588e995cff257947a
Publikováno v:
Remote Sensing, Vol 15, Iss 18, p 4539 (2023)
With the rapid development of remote sensing technology, the application of convolutional neural networks in remote sensing object detection has become very widespread, and some multimodal feature fusion networks have also been proposed in recent yea
Externí odkaz:
https://doaj.org/article/b9efee1c2b26468fa29ae9dac5c68c46
Publikováno v:
IET Image Processing, Vol 15, Iss 11, Pp 2478-2493 (2021)
Abstract Generative adversarial network‐based deep generative model is widely applied in creating hyper‐realistic face‐swapping images and videos. However, its malicious use has posed a great threat to online contents, thus making detecting the
Externí odkaz:
https://doaj.org/article/8b6efaef0bc04d46b8ac2f4fd0c975eb
Publikováno v:
Mathematics, Vol 11, Iss 13, p 3015 (2023)
In recent years, with the rapid development of technology, artificial intelligence (AI) security issues represented by adversarial sample attack have aroused widespread concern in society. Adversarial samples are often generated by surrogate models a
Externí odkaz:
https://doaj.org/article/abd252149ccf48ed82d0b5e1afcaca84
Publikováno v:
IET Computer Vision, Vol 11, Iss 7, Pp 605-612 (2017)
The authors present a deep neural network (DNN) with attention model for scene text recognition. The proposed model does not require any segmentation of the input text image. The framework is inspired by the attention model presented recently for spe
Externí odkaz:
https://doaj.org/article/10aaf8a945af469087586729845e2614
Publikováno v:
IET Computer Vision, Vol 11, Iss 1, Pp 104-111 (2017)
Connecting visual imagery with descriptive language is a challenge for computer vision and machine translation. To approach this problem, the authors propose a novel end‐to‐end model to generate descriptions for images. Some early works used conv
Externí odkaz:
https://doaj.org/article/de1e8005a1db4b139e5c550d6d6e83b0
Publikováno v:
Symmetry, Vol 12, Iss 9, p 1511 (2020)
Fine-grained image classification has seen a great improvement benefiting from the advantages of deep learning techniques. Most fine-grained image classification methods focus on extracting discriminative features and combining the global features wi
Externí odkaz:
https://doaj.org/article/04b49d45a6f641ffb07f707701c5bdef
Publikováno v:
Symmetry, Vol 12, Iss 4, p 511 (2020)
Image scene graph is a semantic structural representation which can not only show what objects are in the image, but also infer the relationships and interactions among them. Despite the recent success in object detection using deep neural networks,
Externí odkaz:
https://doaj.org/article/5206f053e43a4fb2a8c6191e857e14cf