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Development and Classification of Image Dataset for Text-to-Image Generation
The Deep Learning model benefits from the information extracted from images, which enhances its understanding of human vision with comparable...
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OSAGGAN: one-shot unsupervised image-to-image translation using attention-guided generative adversarial networks
This paper proposes a single-image translation method based on attention guidance to solve the problem of poor image quality in current single-image...
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Multi-feature contrastive learning for unpaired image-to-image translation
Unpaired image-to-image translation for the generation field has made much progress recently. However, these methods suffer from mode collapse...
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AENCIC: a method to estimate the number of clusters based on image complexity to be used in fuzzy clustering algorithms for image segmentation
Image segmentation through fuzzy clustering has been widely used in diverse areas. However, most of those clustering algorithms require that some of...
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Image-To-Image Translation Using Pix2Pix GAN and Cycle GAN
Image-to-image (I2I) translation helps to generate new images based on existing ones, allowing for the creation of new art, designs, and objects. It...
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Disentangling latent space better for few-shot image-to-image translation
In an unpaired image-to-image translation, the main concept is to learn an underlying map** between the source and target domains. Previous...
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A Rapid Image Comparison Approach to Automatic Recognition and Assembly of Jigsaw Puzzles
This paper proposes a method for quick recognition of jigsaw puzzles using a small number of samples, solely relying on image processing and template...
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Exploring text-to-image application in architectural design: insights and implications
This study explores the potential of employing AI, particularly text-to-image generators, in the architectural design process. It addresses three...
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L2NLF: a novel linear-to-nonlinear framework for multi-modal medical image registration
In recent years, deep learning has ushered in significant development in medical image registration, and the method of non-rigid registration using...
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Night-to-day thermal image translation for deep thermal place recognition
Place recognition PR is a fundamental task in autonomous robot systems that is still actively being researched. In recent years, CNN-based place...
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Unpaired Image-to-Image Translation Based Artwork Restoration Using Generative Adversarial Networks
Artworks assume huge significance in humankind’s culture and history. Artworks assimilate history and have the precise ability to tell history to the...
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Efficient low-light image enhancement with model parameters scaled down to 0.02M
In the field of low-light image enhancement, existing deep learning methods face three significant challenges: inaccurate reflection component...
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A 3D image-based method to measure soil stiffness in triaxial tests
This paper describes a new simple and inexpensive method for accurately measuring the three-dimensional deformation of soil specimens during triaxial...
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Image-based extension to ant colony algorithm for path finding in gird-based environments
We propose a technique (IPEAC) that extends the Ant Colony Optimization (ACO) for shortest path finding. In a grid-based environment, when the ACO...
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Anchored to features: an image-feature-aware planner for stable visual localization
This paper presents an image-feature-aware (IFA) planner for quadrotors, which integrates image feature tracking into its path-planning framework....
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Optimization Approach to Image Reconstruction
Image reconstruction from measured sensor data is key to successful operation of any computational imaging system. Increasingly a number of imaging...
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Modified CNN-Watershed for Corneal Endothelium Segmentation: Image-to-Image Versus Sliding-Window Comparison
This paper considers the problem of corneal endothelium image segmentation using a method that combines a CNN model with a watershed transform....
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Region-Based Medical Image Watermarking Approach For Secure EPR Transmission Applied to e-Health
Digital health services have been more popular recently since it is simple to share electronic medical information via an open network. Several...
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VSEM-SAMMI: An Explainable Multimodal Learning Approach to Predict User-Generated Image Helpfulness and Product Sales
Using user-generated content (UGC) is of utmost importance for e-commerce platforms to extract valuable commercial information. In this paper, we...
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Study of an Image-Based CAPTCHA that is Resistant to Attacks Using Image Recognition Systems
In today’s digital age, image-based CAPTCHAs are increasingly vulnerable to attacks using annotation services, which tag images and classify images...