Results 41 to 50 of about 1,189,521 (278)

MAT: A Multimodal Attentive Translator for Image Captioning [PDF]

, 2017
In this work we formulate the problem of image captioning as a multimodal translation task. Analogous to machine translation, we present a sequence-to-sequence recurrent neural networks (RNN) model for image caption generation.
Liu, Chang, Sun, Fuchun, Wang, Changhu, Wang, Feng, Yuille, Alan   +4 more
core   +1 more source

Frequency-Aware Axial-ShiftedNet in Generative Adversarial Networks for Visible-to-Infrared Image Translation

IEEE Access
Infrared imagery is indispensable for capturing temperature data by detecting infrared radiation, particularly in challenging environments characterized by low-light conditions where visual perception is compromised.
Hsi-Ju Lin, Wei-Yuan Cheng, Duan-Yu Chen
doaj   +1 more source

Discriminative Region Proposal Adversarial Networks for High-Quality Image-to-Image Translation

, 2018
Image-to-image translation has been made much progress with embracing Generative Adversarial Networks (GANs). However, it's still very challenging for translation tasks that require high quality, especially at high-resolution and photorealism.
C Dong, C Li, HR Sheikh, J Johnson, J-Y Zhu, O Ronneberger, R Tyleček, R Zhang, X Wang, Z Wang   +9 more
core   +1 more source

Image-to-Image Translation with Conditional Adversarial Networks

, 2018
We investigate conditional adversarial networks as a general-purpose solution to image-to-image translation problems. These networks not only learn the mapping from input image to output image, but also learn a loss function to train this mapping.
Efros, Alexei A., Isola, Phillip, Zhou, Tinghui, Zhu, Jun-Yan   +3 more
core   +1 more source

Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X

Remote Sensing, 2018
With more and more SAR applications, the demand for enhanced high-quality SAR images has increased considerably. However, high-quality SAR images entail high costs, due to the limitations of current SAR devices and their image processing resources.
Dongyang Ao, Corneliu Octavian Dumitru, Gottfried Schwarz, Mihai Datcu   +3 more
doaj   +1 more source

Explainable Feature-Injected Diffusion Model for Medical Image Translation

IEEE Access
The integration of computed tomography (CT) and magnetic resonance (MR) imaging is crucial for accurate medical diagnosis and treatment planning. However, translating images between CT and MR remains challenging due to significant differences in imaging ...
Jung Su Ahn, Ki Hoon Kwak, Young-Rae Cho
doaj   +1 more source

Spatial and Spectral Translation of Landsat 8 to Sentinel-2 Using Conditional Generative Adversarial Networks

Remote Sensing, 2023
Satellite sensors like Landsat 8 OLI (L8) and Sentinel-2 MSI (S2) provide valuable multispectral Earth observations that differ in spatial resolution and spectral bands, limiting synergistic use.
Rohit Mukherjee, Desheng Liu
doaj   +1 more source

Asymmetric GAN for Unpaired Image-to-Image Translation [PDF]

IEEE Transactions on Image Processing, 2019
Unpaired image-to-image translation problem aims to model the mapping from one domain to another with unpaired training data. Current works like the well-acknowledged Cycle GAN provide a general solution for any two domains through modeling injective mappings with a symmetric structure. While in situations where two domains are asymmetric in complexity,
Yu Li, Sheng Tang, Rui Zhang, Yongdong Zhang, Jintao Li, Shuicheng Yan   +5 more
openaire   +3 more sources

Panoptic-aware Image-to-Image Translation

2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
Despite remarkable progress in image translation, the complex scene with multiple discrepant objects remains a challenging problem. The translated images have low fidelity and tiny objects in fewer details causing unsatisfactory performance in object recognition. Without thorough object perception (i.e., bounding boxes, categories, and masks) of images
Zhang, Liyun, Ratsamee, Photchara, Wang, Bowen, Luo, Zhaojie, Uranishi, Yuki, Higashida, Manabu, Takemura, Haruo   +6 more
openaire   +2 more sources

A Systematic Review of Evidence on the Clinical Effectiveness of Surveillance Imaging in Children With Medulloblastoma and Ependymoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Surveillance imaging aims to detect tumour relapse before symptoms develop, but it's unclear whether earlier detection of relapse leads to better outcomes in children and young people (CYP) with medulloblastoma and ependymoma. This systematic review aims to identify relevant literature to determine the efficacy of surveillance magnetic ...
Lucy Shepherd, Melissa Taylor, Helen Fulbright, Bob Phillips   +3 more
wiley   +1 more source