[PDF][PDF] Deep unsupervised domain adaptation: A review of recent advances and perspectives
Deep learning has become the method of choice to tackle real-world problems in different
domains, partly because of its ability to learn from data and achieve impressive performance …
domains, partly because of its ability to learn from data and achieve impressive performance …
Perception and sensing for autonomous vehicles under adverse weather conditions: A survey
Abstract Automated Driving Systems (ADS) open up a new domain for the automotive
industry and offer new possibilities for future transportation with higher efficiency and …
industry and offer new possibilities for future transportation with higher efficiency and …
Egsde: Unpaired image-to-image translation via energy-guided stochastic differential equations
Score-based diffusion models (SBDMs) have achieved the SOTA FID results in unpaired
image-to-image translation (I2I). However, we notice that existing methods totally ignore the …
image-to-image translation (I2I). However, we notice that existing methods totally ignore the …
GAN-based anomaly detection: A review
X Xia, X Pan, N Li, X He, L Ma, X Zhang, N Ding - Neurocomputing, 2022 - Elsevier
Supervised learning algorithms have shown limited use in the field of anomaly detection due
to the unpredictability and difficulty in acquiring abnormal samples. In recent years …
to the unpredictability and difficulty in acquiring abnormal samples. In recent years …
Generative adversarial networks (GANs) for image augmentation in agriculture: A systematic review
In agricultural image analysis, optimal model performance is keenly pursued for better
fulfilling visual recognition tasks (eg, image classification, segmentation, object detection …
fulfilling visual recognition tasks (eg, image classification, segmentation, object detection …
GAN review: Models and medical image fusion applications
T Zhou, Q Li, H Lu, Q Cheng, X Zhang - Information Fusion, 2023 - Elsevier
Abstract Generative Adversarial Network (GAN) is a research hotspot in deep generative
models, which has been widely used in the field of medical image fusion. This paper …
models, which has been widely used in the field of medical image fusion. This paper …
Contrastive learning for unpaired image-to-image translation
In image-to-image translation, each patch in the output should reflect the content of the
corresponding patch in the input, independent of domain. We propose a straightforward …
corresponding patch in the input, independent of domain. We propose a straightforward …
A review of multimodal image matching: Methods and applications
Multimodal image matching, which refers to identifying and then corresponding the same or
similar structure/content from two or more images that are of significant modalities or …
similar structure/content from two or more images that are of significant modalities or …
Styleflow: Attribute-conditioned exploration of stylegan-generated images using conditional continuous normalizing flows
High-quality, diverse, and photorealistic images can now be generated by unconditional
GANs (eg, StyleGAN). However, limited options exist to control the generation process using …
GANs (eg, StyleGAN). However, limited options exist to control the generation process using …
Fda: Fourier domain adaptation for semantic segmentation
We describe a simple method for unsupervised domain adaptation, whereby the
discrepancy between the source and target distributions is reduced by swapping the low …
discrepancy between the source and target distributions is reduced by swapping the low …