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Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation
[article]
2021
arXiv
pre-print
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It is hard to generate an image at target view well for previous cross-view image translation methods that directly adopt a simple encoder-decoder or U-Net structure, especially for drastically different ...
To ease this problem, we propose a novel two-stage framework with a new Cascaded Cross MLP-Mixer (CrossMLP) sub-network in the first stage and one refined pixel-level loss in the second stage. ...
This supplementary document provides additional experimental results of the proposed Cascaded Cross MLP-Mixer GAN for cross-view image translation task. ...
arXiv:2110.10183v1
fatcat:g4web4mexjb3rbltxwxlio3rna
Cascaded Cross MLP-Mixer GANs for Cross-View Image Translation
2021
Zenodo
Preserved Fulltext
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It is hard to generate an image at target view well for previous cross-view image translation methods that directly adopt a simple encoder-decoder or U-Net structure, especially for drastically different ...
To ease this problem, we propose a novel two-stage framework with a new Cascaded Cross MLPMixer (CrossMLP) sub-network in the first stage and one refined pixel-level loss in the second stage. ...
Conclusion We propose a novel two-stage Cascaded Cross MLP-Mixer GAN to progressively address the challenging cross-view image translation task, particularly when there exits little or no overlap between ...
doi:10.5281/zenodo.5901781
fatcat:bkg5owdl25ernheekpbjqb7cne
PI-Trans: Parallel-ConvMLP and Implicit-Transformation Based GAN for Cross-View Image Translation
[article]
2022
arXiv
pre-print
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For semantic-guided cross-view image translation, it is crucial to learn where to sample pixels from the source view image and where to reallocate them guided by the target view semantic map, especially ...
Hence, one not only needs to encode the long-range dependencies among pixels in both the source view image and target view the semantic map but also needs to translate these learned dependencies. ...
Cross-View Image Translation. ...
arXiv:2207.04242v1
fatcat:2waths4o3rgqxlmxvkgqhgvpyu
A comprehensive survey on semantic facial attribute editing using generative adversarial networks
[article]
2022
arXiv
pre-print
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Based on their architectures, the state-of-the-art models are categorized and studied as encoder-decoder, image-to-image, and photo-guided models. ...
Semantic facial attribute editing is the process of varying the values of one or more attributes of a face image while the other attributes of the image are not affected. ...
Wu et al. propose a cascade FE-GAN [177] as a progressive model for handling extreme facial expression manipulations. ...
arXiv:2205.10587v1
fatcat:thpe4crcgndifb5mhtuveww4ji
Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and Challenges
2022
Sensors
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The next generation of 4D radar can achieve imaging capability in the form of high-resolution point clouds. In this context, we believe that the era of deep learning for radar perception has arrived. ...
For these tasks, we focus on explaining how the network structure is adapted to radar domain knowledge. ...
Generative models can also be used in cross-modality data generation, for example GAN-based LiDAR-to-radar generation [104] , GAN-based radar-to-image generation [105] , and VAE-based radar-to-image ...
doi:10.3390/s22114208
pmid:35684831
pmcid:PMC9185239
fatcat:dqzdgj7hd5hqrkudzw5uwjz73u
Towards Robust Pattern Recognition: A Review
[article]
2020
arXiv
pre-print
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The accuracies for many pattern recognition tasks have increased rapidly year by year, achieving or even outperforming human performance. ...
witnessing the significant progress in accuracy improvement nowadays, this review paper will enable us to analyze the shortcomings and limitations of current methods and identify future research directions for ...
For example, image classification works on image, speech recognition deals with sound waves, while machine translation handles text data. ...
arXiv:2006.06976v1
fatcat:mn35i7bmhngl5hxr3vukdcmmde
A Roadmap for Big Model
[article]
2022
arXiv
pre-print
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Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2022 pre-print arXiv:2203.14101v3 fatcat:m7pyxdvamfdndaipb3lew3syhyOther Versions
At the end of this paper, we conclude the further development of BMs in a more general view. ...
With the rapid development of deep learning, training Big Models (BMs) for multiple downstream tasks becomes a popular paradigm. ...
MLP-Mixer [626] and ResMLP [627] are another two simple architectures that directly replace the self-attention layers in vision transformers with spatial MLPs. ...
arXiv:2203.14101v4
fatcat:rdikzudoezak5b36cf6hhne5u4
Deep learning for radar data exploitation of autonomous vehicle
[article]
2022
arXiv
pre-print
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A simple simulation as well as generative methods for creating annotated data will be presented. ...
It also introduces a method to open up research into the fusion of LiDAR and RADAR sensors for scene understanding. ...
I would like to especially thank Domique Béréziat and Francesca Bovolo for reviewing my manuscript. ...
arXiv:2203.08038v1
fatcat:zjupxkpaffgavm45oqpwnhkczq
Program
2021
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)
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improvement for
automated translation. ...
Nevertheless, a regular and perspective
image view is preferred for viewers; thus, image rectification becomes essential. ...
doi:10.1109/icce-tw52618.2021.9602919
fatcat:aetmvxb7hfah7iuucbamos2wgu
Intelligent D-Band wireless systems and networks initial designs
2021
Zenodo
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system level model for proactive handovers and resource allocation, model-driven deep learning-based channel estimation and feedbacks as well as strategies for deployment of machine learning based solutions ...
The different chapters present system level, simulation and algorithmic models based on multi-agent reinforcement learning, deep reinforcement learning, learning automata for complex event forecasting, ...
Observations are fed from the environment to the model as a top-down view image of the map with multiple information layers and a vector of scalar values, containing information such as whether the radio ...
doi:10.5281/zenodo.5718378
fatcat:l3rkacgotzazha564nqm6wchiy
Mechanistic characterisation of Activin/Smad and PI3K/mTOR crosstalk during the specification of definitive endoderm from human embryonic stem cells
2016
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Although it has been previously reported that PI3K activation acts to antagonise the in vitro differentiation of DE, the molecular mechanisms responsible for this effect remains unclear. ...
molecular mechanisms that govern DE specification not only facilitates our understanding of developmental biology but also aids in the differentiation of human pluripotent stem cells to specific cell types for ...
Episkopou for the pGL3-CAGA 12 -luc construct; Professor E. Lam for the p70S6K antibodies, Dr R. Kypta for PC3 cells; Professors V. Episkopou, M. Parker and Dr R. Kypta for their helpful discussions. ...
doi:10.25560/34321
fatcat:sbvyvnzag5gild254nnwux2oae
Strategies for wheat stripe rust pathogenicity identified by "omics" technologies
[article]
2016
Preserved Fulltext
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During infection, the fungus creates a specialized cellular structure within host cells called the haustorium which allows Pst to obtain the nutrients necessary for development and reproduction. ...
Robert Park (University of Sydney, Cobbitty) for the stripe rust strain and help with pathology. We thank William Jackson for a critical review of the manuscript. ...
(Gan et al., 2013 , O'Connell et al., 2012 . ...
doi:10.25911/5d778525270e1
fatcat:5c54ukzrnjgy3fomx52w2iamey